IRENA Global Atlas for Renewable Energy

WMS IRENA Global Atlas for Renewable Energy WMS of IRENA Global Atlas for Renewable Energy available on https://globalatlas.irena.org IRENA Global Atlas for Renewable Energy IRENA Focal point Business

Masdar City

Abu Dhabi Abu Dhabi PO. Box 236 United Arab Emirates gare@irena.org None Check https://globalatlas.irena.org text/xml image/png application/atom+xml application/json;type=geojson application/json;type=topojson application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz application/vnd.mapbox-vector-tile image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html text/javascript application/json XML INIMAGE BLANK JSON JSONP IRENA Global Atlas for Renewable Energy WMS of IRENA Global Atlas for Renewable Energy available on https://globalatlas.irena.org AUTO:42001 AUTO:42002 AUTO:42003 AUTO:42004 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EPSG:31297 EPSG:31300 EPSG:31370 EPSG:31461 EPSG:31462 EPSG:31463 EPSG:31464 EPSG:31465 EPSG:31466 EPSG:31467 EPSG:31468 EPSG:31469 EPSG:31528 EPSG:31529 EPSG:31600 EPSG:31700 EPSG:31838 EPSG:31839 EPSG:31900 EPSG:31901 EPSG:31965 EPSG:31966 EPSG:31967 EPSG:31968 EPSG:31969 EPSG:31970 EPSG:31971 EPSG:31972 EPSG:31973 EPSG:31974 EPSG:31975 EPSG:31976 EPSG:31977 EPSG:31978 EPSG:31979 EPSG:31980 EPSG:31981 EPSG:31982 EPSG:31983 EPSG:31984 EPSG:31985 EPSG:31986 EPSG:31987 EPSG:31988 EPSG:31989 EPSG:31990 EPSG:31991 EPSG:31992 EPSG:31993 EPSG:31994 EPSG:31995 EPSG:31996 EPSG:31997 EPSG:31998 EPSG:31999 EPSG:32000 EPSG:32001 EPSG:32002 EPSG:32003 EPSG:32005 EPSG:32006 EPSG:32007 EPSG:32008 EPSG:32009 EPSG:32010 EPSG:32011 EPSG:32012 EPSG:32013 EPSG:32014 EPSG:32015 EPSG:32016 EPSG:32017 EPSG:32018 EPSG:32019 EPSG:32020 EPSG:32021 EPSG:32022 EPSG:32023 EPSG:32024 EPSG:32025 EPSG:32026 EPSG:32027 EPSG:32028 EPSG:32029 EPSG:32030 EPSG:32031 EPSG:32033 EPSG:32034 EPSG:32035 EPSG:32036 EPSG:32037 EPSG:32038 EPSG:32039 EPSG:32040 EPSG:32041 EPSG:32042 EPSG:32043 EPSG:32044 EPSG:32045 EPSG:32046 EPSG:32047 EPSG:32048 EPSG:32049 EPSG:32050 EPSG:32051 EPSG:32052 EPSG:32053 EPSG:32054 EPSG:32055 EPSG:32056 EPSG:32057 EPSG:32058 EPSG:32061 EPSG:32062 EPSG:32064 EPSG:32065 EPSG:32066 EPSG:32067 EPSG:32074 EPSG:32075 EPSG:32076 EPSG:32077 EPSG:32081 EPSG:32082 EPSG:32083 EPSG:32084 EPSG:32085 EPSG:32086 EPSG:32098 EPSG:32099 EPSG:32100 EPSG:32104 EPSG:32107 EPSG:32108 EPSG:32109 EPSG:32110 EPSG:32111 EPSG:32112 EPSG:32113 EPSG:32114 EPSG:32115 EPSG:32116 EPSG:32117 EPSG:32118 EPSG:32119 EPSG:32120 EPSG:32121 EPSG:32122 EPSG:32123 EPSG:32124 EPSG:32125 EPSG:32126 EPSG:32127 EPSG:32128 EPSG:32129 EPSG:32130 EPSG:32133 EPSG:32134 EPSG:32135 EPSG:32136 EPSG:32137 EPSG:32138 EPSG:32139 EPSG:32140 EPSG:32141 EPSG:32142 EPSG:32143 EPSG:32144 EPSG:32145 EPSG:32146 EPSG:32147 EPSG:32148 EPSG:32149 EPSG:32150 EPSG:32151 EPSG:32152 EPSG:32153 EPSG:32154 EPSG:32155 EPSG:32156 EPSG:32157 EPSG:32158 EPSG:32159 EPSG:32161 EPSG:32164 EPSG:32165 EPSG:32166 EPSG:32167 EPSG:32180 EPSG:32181 EPSG:32182 EPSG:32183 EPSG:32184 EPSG:32185 EPSG:32186 EPSG:32187 EPSG:32188 EPSG:32189 EPSG:32190 EPSG:32191 EPSG:32192 EPSG:32193 EPSG:32194 EPSG:32195 EPSG:32196 EPSG:32197 EPSG:32198 EPSG:32199 EPSG:32201 EPSG:32202 EPSG:32203 EPSG:32204 EPSG:32205 EPSG:32206 EPSG:32207 EPSG:32208 EPSG:32209 EPSG:32210 EPSG:32211 EPSG:32212 EPSG:32213 EPSG:32214 EPSG:32215 EPSG:32216 EPSG:32217 EPSG:32218 EPSG:32219 EPSG:32220 EPSG:32221 EPSG:32222 EPSG:32223 EPSG:32224 EPSG:32225 EPSG:32226 EPSG:32227 EPSG:32228 EPSG:32229 EPSG:32230 EPSG:32231 EPSG:32232 EPSG:32233 EPSG:32234 EPSG:32235 EPSG:32236 EPSG:32237 EPSG:32238 EPSG:32239 EPSG:32240 EPSG:32241 EPSG:32242 EPSG:32243 EPSG:32244 EPSG:32245 EPSG:32246 EPSG:32247 EPSG:32248 EPSG:32249 EPSG:32250 EPSG:32251 EPSG:32252 EPSG:32253 EPSG:32254 EPSG:32255 EPSG:32256 EPSG:32257 EPSG:32258 EPSG:32259 EPSG:32260 EPSG:32301 EPSG:32302 EPSG:32303 EPSG:32304 EPSG:32305 EPSG:32306 EPSG:32307 EPSG:32308 EPSG:32309 EPSG:32310 EPSG:32311 EPSG:32312 EPSG:32313 EPSG:32314 EPSG:32315 EPSG:32316 EPSG:32317 EPSG:32318 EPSG:32319 EPSG:32320 EPSG:32321 EPSG:32322 EPSG:32323 EPSG:32324 EPSG:32325 EPSG:32326 EPSG:32327 EPSG:32328 EPSG:32329 EPSG:32330 EPSG:32331 EPSG:32332 EPSG:32333 EPSG:32334 EPSG:32335 EPSG:32336 EPSG:32337 EPSG:32338 EPSG:32339 EPSG:32340 EPSG:32341 EPSG:32342 EPSG:32343 EPSG:32344 EPSG:32345 EPSG:32346 EPSG:32347 EPSG:32348 EPSG:32349 EPSG:32350 EPSG:32351 EPSG:32352 EPSG:32353 EPSG:32354 EPSG:32355 EPSG:32356 EPSG:32357 EPSG:32358 EPSG:32359 EPSG:32360 EPSG:32401 EPSG:32402 EPSG:32403 EPSG:32404 EPSG:32405 EPSG:32406 EPSG:32407 EPSG:32408 EPSG:32409 EPSG:32410 EPSG:32411 EPSG:32412 EPSG:32413 EPSG:32414 EPSG:32415 EPSG:32416 EPSG:32417 EPSG:32418 EPSG:32419 EPSG:32420 EPSG:32421 EPSG:32422 EPSG:32423 EPSG:32424 EPSG:32425 EPSG:32426 EPSG:32427 EPSG:32428 EPSG:32429 EPSG:32430 EPSG:32431 EPSG:32432 EPSG:32433 EPSG:32434 EPSG:32435 EPSG:32436 EPSG:32437 EPSG:32438 EPSG:32439 EPSG:32440 EPSG:32441 EPSG:32442 EPSG:32443 EPSG:32444 EPSG:32445 EPSG:32446 EPSG:32447 EPSG:32448 EPSG:32449 EPSG:32450 EPSG:32451 EPSG:32452 EPSG:32453 EPSG:32454 EPSG:32455 EPSG:32456 EPSG:32457 EPSG:32458 EPSG:32459 EPSG:32460 EPSG:32501 EPSG:32502 EPSG:32503 EPSG:32504 EPSG:32505 EPSG:32506 EPSG:32507 EPSG:32508 EPSG:32509 EPSG:32510 EPSG:32511 EPSG:32512 EPSG:32513 EPSG:32514 EPSG:32515 EPSG:32516 EPSG:32517 EPSG:32518 EPSG:32519 EPSG:32520 EPSG:32521 EPSG:32522 EPSG:32523 EPSG:32524 EPSG:32525 EPSG:32526 EPSG:32527 EPSG:32528 EPSG:32529 EPSG:32530 EPSG:32531 EPSG:32532 EPSG:32533 EPSG:32534 EPSG:32535 EPSG:32536 EPSG:32537 EPSG:32538 EPSG:32539 EPSG:32540 EPSG:32541 EPSG:32542 EPSG:32543 EPSG:32544 EPSG:32545 EPSG:32546 EPSG:32547 EPSG:32548 EPSG:32549 EPSG:32550 EPSG:32551 EPSG:32552 EPSG:32553 EPSG:32554 EPSG:32555 EPSG:32556 EPSG:32557 EPSG:32558 EPSG:32559 EPSG:32560 EPSG:32596 EPSG:32597 EPSG:32598 EPSG:32599 EPSG:32600 EPSG:32601 EPSG:32602 EPSG:32603 EPSG:32604 EPSG:32605 EPSG:32606 EPSG:32607 EPSG:32608 EPSG:32609 EPSG:32610 EPSG:32611 EPSG:32612 EPSG:32613 EPSG:32614 EPSG:32615 EPSG:32616 EPSG:32617 EPSG:32618 EPSG:32619 EPSG:32620 EPSG:32621 EPSG:32622 EPSG:32623 EPSG:32624 EPSG:32625 EPSG:32626 EPSG:32627 EPSG:32628 EPSG:32629 EPSG:32630 EPSG:32631 EPSG:32632 EPSG:32633 EPSG:32634 EPSG:32635 EPSG:32636 EPSG:32637 EPSG:32638 EPSG:32639 EPSG:32640 EPSG:32641 EPSG:32642 EPSG:32643 EPSG:32644 EPSG:32645 EPSG:32646 EPSG:32647 EPSG:32648 EPSG:32649 EPSG:32650 EPSG:32651 EPSG:32652 EPSG:32653 EPSG:32654 EPSG:32655 EPSG:32656 EPSG:32657 EPSG:32658 EPSG:32659 EPSG:32660 EPSG:32661 EPSG:32662 EPSG:32663 EPSG:32664 EPSG:32665 EPSG:32666 EPSG:32667 EPSG:32700 EPSG:32701 EPSG:32702 EPSG:32703 EPSG:32704 EPSG:32705 EPSG:32706 EPSG:32707 EPSG:32708 EPSG:32709 EPSG:32710 EPSG:32711 EPSG:32712 EPSG:32713 EPSG:32714 EPSG:32715 EPSG:32716 EPSG:32717 EPSG:32718 EPSG:32719 EPSG:32720 EPSG:32721 EPSG:32722 EPSG:32723 EPSG:32724 EPSG:32725 EPSG:32726 EPSG:32727 EPSG:32728 EPSG:32729 EPSG:32730 EPSG:32731 EPSG:32732 EPSG:32733 EPSG:32734 EPSG:32735 EPSG:32736 EPSG:32737 EPSG:32738 EPSG:32739 EPSG:32740 EPSG:32741 EPSG:32742 EPSG:32743 EPSG:32744 EPSG:32745 EPSG:32746 EPSG:32747 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:32759 EPSG:32760 EPSG:32761 EPSG:32762 EPSG:32763 EPSG:32764 EPSG:32765 EPSG:32766 EPSG:41001 EPSG:42101 EPSG:42102 EPSG:42103 EPSG:42104 EPSG:42105 EPSG:42106 EPSG:42301 EPSG:42302 EPSG:42303 EPSG:42304 EPSG:42305 EPSG:42306 EPSG:42307 EPSG:42308 EPSG:42309 EPSG:42310 EPSG:42311 EPSG:45555 EPSG:45556 EPSG:53029 EPSG:54004 EPSG:54009 EPSG:54012 EPSG:54029 EPSG:100001 EPSG:100002 EPSG:100003 EPSG:102113 EPSG:391141 EPSG:404000 EPSG:900913 EPSG:61206405 EPSG:61216405 EPSG:61226405 EPSG:61236405 EPSG:61246405 EPSG:61266405 EPSG:61266413 EPSG:61276405 EPSG:61286405 EPSG:61296405 EPSG:61306405 EPSG:61306413 EPSG:61316405 EPSG:61326405 EPSG:61336405 EPSG:61346405 EPSG:61356405 EPSG:61366405 EPSG:61376405 EPSG:61386405 EPSG:61396405 EPSG:61406405 EPSG:61406413 EPSG:61416405 EPSG:61426405 EPSG:61436405 EPSG:61446405 EPSG:61456405 EPSG:61466405 EPSG:61476405 EPSG:61486405 EPSG:61486413 EPSG:61496405 EPSG:61506405 EPSG:61516405 EPSG:61516413 EPSG:61526405 EPSG:61526413 EPSG:61536405 EPSG:61546405 EPSG:61556405 EPSG:61566405 EPSG:61576405 EPSG:61586405 EPSG:61596405 EPSG:61606405 EPSG:61616405 EPSG:61626405 EPSG:61636405 EPSG:61636413 EPSG:61646405 EPSG:61656405 EPSG:61666405 EPSG:61676405 EPSG:61676413 EPSG:61686405 EPSG:61696405 EPSG:61706405 EPSG:61706413 EPSG:61716405 EPSG:61716413 EPSG:61736405 EPSG:61736413 EPSG:61746405 EPSG:61756405 EPSG:61766405 EPSG:61766413 EPSG:61786405 EPSG:61796405 EPSG:61806405 EPSG:61806413 EPSG:61816405 EPSG:61826405 EPSG:61836405 EPSG:61846405 EPSG:61886405 EPSG:61896405 EPSG:61896413 EPSG:61906405 EPSG:61906413 EPSG:61916405 EPSG:61926405 EPSG:61936405 EPSG:61946405 EPSG:61956405 EPSG:61966405 EPSG:61976405 EPSG:61986405 EPSG:61996405 EPSG:62006405 EPSG:62016405 EPSG:62026405 EPSG:62036405 EPSG:62046405 EPSG:62056405 EPSG:62066405 EPSG:62076405 EPSG:62086405 EPSG:62096405 EPSG:62106405 EPSG:62116405 EPSG:62126405 EPSG:62136405 EPSG:62146405 EPSG:62156405 EPSG:62166405 EPSG:62186405 EPSG:62196405 EPSG:62206405 EPSG:62216405 EPSG:62226405 EPSG:62236405 EPSG:62246405 EPSG:62256405 EPSG:62276405 EPSG:62296405 EPSG:62306405 EPSG:62316405 EPSG:62326405 EPSG:62336405 EPSG:62366405 EPSG:62376405 EPSG:62386405 EPSG:62396405 EPSG:62406405 EPSG:62416405 EPSG:62426405 EPSG:62436405 EPSG:62446405 EPSG:62456405 EPSG:62466405 EPSG:62476405 EPSG:62486405 EPSG:62496405 EPSG:62506405 EPSG:62516405 EPSG:62526405 EPSG:62536405 EPSG:62546405 EPSG:62556405 EPSG:62566405 EPSG:62576405 EPSG:62586405 EPSG:62586413 EPSG:62596405 EPSG:62616405 EPSG:62626405 EPSG:62636405 EPSG:62646405 EPSG:62656405 EPSG:62666405 EPSG:62676405 EPSG:62686405 EPSG:62696405 EPSG:62706405 EPSG:62716405 EPSG:62726405 EPSG:62736405 EPSG:62746405 EPSG:62756405 EPSG:62766405 EPSG:62776405 EPSG:62786405 EPSG:62796405 EPSG:62806405 EPSG:62816405 EPSG:62826405 EPSG:62836405 EPSG:62836413 EPSG:62846405 EPSG:62856405 EPSG:62866405 EPSG:62886405 EPSG:62896405 EPSG:62926405 EPSG:62936405 EPSG:62956405 EPSG:62976405 EPSG:62986405 EPSG:62996405 EPSG:63006405 EPSG:63016405 EPSG:63026405 EPSG:63036405 EPSG:63046405 EPSG:63066405 EPSG:63076405 EPSG:63086405 EPSG:63096405 EPSG:63106405 EPSG:63116405 EPSG:63126405 EPSG:63136405 EPSG:63146405 EPSG:63156405 EPSG:63166405 EPSG:63176405 EPSG:63186405 EPSG:63196405 EPSG:63226405 EPSG:63246405 EPSG:63266405 EPSG:63266406 EPSG:63266407 EPSG:63266408 EPSG:63266409 EPSG:63266410 EPSG:63266411 EPSG:63266412 EPSG:63266413 EPSG:63266414 EPSG:63266415 EPSG:63266416 EPSG:63266417 EPSG:63266418 EPSG:63266419 EPSG:63266420 EPSG:66006405 EPSG:66016405 EPSG:66026405 EPSG:66036405 EPSG:66046405 EPSG:66056405 EPSG:66066405 EPSG:66076405 EPSG:66086405 EPSG:66096405 EPSG:66106405 EPSG:66116405 EPSG:66126405 EPSG:66126413 EPSG:66136405 EPSG:66146405 EPSG:66156405 EPSG:66166405 EPSG:66186405 EPSG:66196405 EPSG:66196413 EPSG:66206405 EPSG:66216405 EPSG:66226405 EPSG:66236405 EPSG:66246405 EPSG:66246413 EPSG:66256405 EPSG:66266405 EPSG:66276405 EPSG:66276413 EPSG:66286405 EPSG:66296405 EPSG:66306405 EPSG:66316405 EPSG:66326405 EPSG:66336405 EPSG:66346405 EPSG:66356405 EPSG:66366405 EPSG:66376405 EPSG:66386405 EPSG:66396405 EPSG:66406405 EPSG:66406413 EPSG:66416405 EPSG:66426405 EPSG:66436405 EPSG:66446405 EPSG:66456405 EPSG:66456413 EPSG:66466405 EPSG:66576405 EPSG:66586405 EPSG:66596405 EPSG:66596413 EPSG:66606405 EPSG:66616405 EPSG:66616413 EPSG:66636405 EPSG:66646405 EPSG:66656405 EPSG:66666405 EPSG:66676405 EPSG:68016405 EPSG:68026405 EPSG:68036405 EPSG:68046405 EPSG:68056405 EPSG:68066405 EPSG:68086405 EPSG:68096405 EPSG:68136405 EPSG:68146405 EPSG:68156405 EPSG:68186405 EPSG:68206405 EPSG:69036405 -180.0 180.0006408691406 -90.0 90.0 anu:150GWh_18h Global 150GWh pumped hydropower storage (18h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.9499999999999 179.3747199999999 -54.84306 60.0 anu:15GWh_18h Global 15GWh pumped hydropower storage (18h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. EPSG:4326 -179.97306 179.86778 -54.88860999999999 60.0 anu:15GWh_6h Global 15GWh pumped hydropower storage (6h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.98194 179.86778 -54.88860999999999 60.0 anu:2GWh_6h Global 2GWh pumped hydro energy storage (6h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.98639 179.86472 -54.93693999999999 60.0 anu:50GWh_18h Global 50GWh pumped hydropower storage (18h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.94778 179.74806 -54.88971999999999 60.0 anu:50GWh_6h Global 50GWh pumped hydropower storage (6h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.94778 179.74806 -54.88971999999999 60.0 anu:5GWh_18h Global 5GWh pumped hydropower storage (18h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.9916699999999 179.8824999999999 -54.8875 60.0 anu:5GWh_6h Global 5GWh pumped hydropower storage (6h) None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. hydropower pumped global EPSG:4326 -179.9916699999999 179.8824999999999 -54.97999999999999 60.0 irena:africa_hydropower_installed_potential Africa – hydropower potential and installed capacity Hydropower potential is calculated based on Delft University of Technology (TU-Delft) hydropower dataset, which rendered global high-resolution estimates of potential hydropower plant locations (for micro to large sized plants), and IRENA's Statistics Database. EPSG:4326 -15.397855758667 46.6979064941406 -29.5834922790527 34.1142845153809 irena:africa_solar_installed_potential Africa – solar PV potential and installed capacity The map displays installed capacity and available potential of solar PV sites in Africa. The database is collated and available through IRENA's Statistics Database and Global Atlas. EPSG:4326 -22.7777843475342 57.6312294006348 -29.5834922790527 34.1142845153809 irena:africa_wind_installed_potential Africa – wind potential and installed capacity The map displays installed capacity and available potential of wind sites in Africa. The database is collated and available through IRENA's Statistics Database and Global Atlas. EPSG:4326 -22.7776794433594 57.6312294006348 -29.5834922790527 34.1142845153809 irena:timeseries generation profiles EPSG:3857 -25.290278579999967 47.637344410000026 -33.55925615 37.296283929999966 wri:Aqueductwaterrisk Aqueduct water risk features Aqueduct-water-risk EPSG:4326 CRS:84 -180.0 180.0006408691406 -90.0 83.65834045410156 soda:Average_BNI_Apr_agate Europe – April average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain text/plain soda:Average_BNI_Apr_jade Africa – April average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Aug_agate Europe – August average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Aug_jade Africa – August average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Dec_agate Europe – December average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Dec_jade Africa – December average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Feb_agate Europe – February average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Feb_jade Africa – February average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Jan_agate Europe – January average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Jan_jade Africa – January average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Jul_agate Europe – July average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Jul_jade Africa – July average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Jun_agate Europe – June average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Jun_jade Africa – June average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Mar_agate Europe – March average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Mar_jade Africa – March average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_May_agate Europe – May average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_May_jade Africa – May average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Nov_agate Europe – November average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Nov_jade Africa – November average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Oct_agate Europe – October average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Oct_jade Africa – October average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_Sep_agate Europe – September average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_Sep_jade Africa – September average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_BNI_yearly_agate Europe – annual average direct normal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. direct irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_BNI_yearly_jade Africa – annual average direct normal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 direct irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Apr_agate Europe – April average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Apr_jade Africa – April average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Aug_agate Europe – August average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Aug_jade Africa – August average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Dec_agate Europe – December average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Dec_jade Africa – December average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Feb_agate Europe – February average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Feb_jade Africa – February average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Jan_agate Europe – January average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Jan_jade Africa – January average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Jul_agate Europe – July average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Jul_jade Africa – July average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Jun_agate Europe – June average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Jun_jade Africa – June average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Mar_agate Europe – March average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Mar_jade Africa – March average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_May_agate Europe – May average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_May_jade Africa – May average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Nov_agate Europe – November average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Nov_jade Africa – November average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Oct_agate Europe – October average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Oct_jade Africa – October average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_Sep_agate Europe – September average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_Sep_jade Africa – September average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_DHI_yearly_agate Europe – annual average diffuse horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. diffuse irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_DHI_yearly_jade Africa – annual average diffuse horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 diffuse irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Apr_agate Europe – April average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Apr_jade Africa – April average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Aug_agate Europe – August average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Aug_jade Africa – August average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Dec_agate Europe – December average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Dec_jade Africa – December average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Feb_agate Europe – February average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Feb_jade Africa – February average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Jan_agate Europe – January average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Jan_jade Africa – January average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Jul_agate Europe – July average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Jul_jade Africa – July average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Jun_agate Europe – June average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Jun_jade Africa – June average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Mar_agate Europe – March average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Mar_jade Africa – March average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_May_agate Europe – May average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_May_jade Africa – May average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Nov_agate Europe – November average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Nov_jade Africa – November average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Oct_agate Europe – October average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/html soda:Average_GHI_Oct_jade Africa – October average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_Sep_agate Europe – September average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 text/plain soda:Average_GHI_Sep_jade Africa – September average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html soda:Average_GHI_yearly_agate Europe – annual average global horizontal irradiation CAMS radiation service dataset "AGATE" over Europe computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019. global irradiation solar Europe EPSG:4326 CRS:84 -10.3 44.7 34.9 60.1 soda:Average_GHI_yearly_jade Africa – annual average global horizontal irradiation CAMS radiation service dataset "JADE" over Africa computed with McClear version 3 and CAMS radiation bias correction - CAMS project - Dec. 2019 global irradiation solar Africa EPSG:4326 CRS:84 -20.1 54.1 -37.1 40.1 text/html fao:BlandUse2010 Mozambique – land use for BAU scenario, 2010 The Business as Usual (BAU) scenario projects a future in which historical trends in yield levels and livestock productivity are continued, resulting in a low agricultural productivity. The land use changes for each year towards 2010 were modelled on high resolution. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:BlandUse2020 Mozambique – land use for BAU scenario, 2020 The Business as Usual (BAU) scenario projects a future in which historical trends in yield levels and livestock productivity are continued, resulting in a low agricultural productivity. The land use changes for each year towards 2020 were modelled on high resolution. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:BlandUse2030 Mozambique – land use for BAU scenario, 2030 The Business as Usual (BAU) scenario projects a future in which historical trends in yield levels and livestock productivity are continued, resulting in a low agricultural productivity. The land use changes for each year towards 2030 were modelled on high resolution. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:Blandavailable2010 Mozambique – bioenergy land availability for BAU scenario, 2010 The Business as Usual (BAU) scenario projects a future in which historical trends in yield levels and livestock productivity are continued, resulting in a low agricultural productivity. Land availability for bioenergy crops is determined by suitability indices of land use classes and maps of excluded areas for bioenergy production. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:Blandavailable2020 Mozambique – bioenergy land availability for BAU scenario, 2020 The Business as Usual (BAU) scenario projects a future in which historical trends in yield levels and livestock productivity are continued, resulting in a low agricultural productivity. Land availability for bioenergy crops is determined by suitability indices of land use classes and maps of excluded areas for bioenergy production. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:Blandavailable2030 Mozambique – bioenergy land availability for BAU scenario, 2030 The Business as Usual (BAU) scenario projects a future in which historical trends in yield levels and livestock productivity are continued, resulting in a low agricultural productivity. Land availability for bioenergy crops is determined by suitability indices of land use classes and maps of excluded areas for bioenergy production. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 ku:DHI UAE – annual average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html vortex:DHI-Apr Global April average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Aug Global August average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Dec Global December average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Feb Global February average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Jan Global January average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Jul Global July average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Jun Global June average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Mar Global March average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-May Global May average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Nov Global November average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Oct Global October average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Sep Global September average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DHI-Year Global annual average diffuse horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term yearly averages of diffuse horizontal irradiation (DHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ku:DHI_01 UAE – January average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_02 UAE – February average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_03 UAE – March average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_04 UAE – April average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_05 UAE – May average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_06 UAE – June average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_07 UAE – July average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_08 UAE – August average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_09 UAE – September average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_10 UAE – October average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_11 UAE – November average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DHI_12 UAE – December average diffuse horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. diffuse irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI UAE – annual average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html vortex:DNI-Apr Global April average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Aug Global August average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Dec Global December average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Feb Global February average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Jan Global January average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Jul Global July average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Jun Global June average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Mar Global March average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-May Global May average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Nov Global November average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Oct Global October average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Sep Global September average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:DNI-Year Global annual average direct normal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term yearly averages of direct normal irradiation (DNI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ku:DNI_01 UAE – January average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_02 UAE – February average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_03 UAE – March average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_04 UAE – April average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_05 UAE – May average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_06 UAE – June average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_07 UAE – July average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_08 UAE – August average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_09 UAE – September average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_10 UAE – October average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_11 UAE – November average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:DNI_12 UAE – December average direct normal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. direct irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html anu:Dams150GWh_18h Dams150GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams150GWh_18h EPSG:4326 CRS:84 -179.94972 179.3697199999999 -54.84306 60.0 anu:Dams15GWh_18h Dams15GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams15GWh_18h EPSG:4326 CRS:84 -179.97306 179.86778 -54.88833 60.0 anu:Dams15GWh_6h Dams15GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams15GWh_6h EPSG:4326 CRS:84 -179.98194 179.86778 -54.88833 60.0 anu:Dams2GWh_6h Dams2GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. Dams2GWh_6h features EPSG:4326 CRS:84 -179.98639 179.8636099999999 -54.93667 60.0 anu:Dams50GWh_18h Dams50GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams50GWh_18h EPSG:4326 CRS:84 -179.94111 179.74778 -54.88971999999999 60.0 anu:Dams50GWh_6h Dams50GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams50GWh_6h EPSG:4326 CRS:84 -179.94111 179.74778 -54.88971999999999 60.0 anu:Dams5GWh_18h Dams5GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams5GWh_18h EPSG:4326 CRS:84 -179.9916699999999 179.8824999999999 -54.88639 60.0 anu:Dams5GWh_6h Dams5GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Dams5GWh_6h EPSG:4326 CRS:84 -179.9916699999999 179.8824999999999 -54.97999999999999 60.0 ku:GHI UAE – annual average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html vortex:GHI-Apr Global April average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Aug Global August average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Dec Global December average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Feb Global February average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Jan Global January average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Jul Global July average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Jun Global June average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Mar Global March average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-May Global May average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Nov Global November average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Oct Global October average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Sep Global September average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:GHI-Year Global annual average global horizontal irradiation Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term yearly averages of global horizontal irradiation (GHI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ku:GHI_01 UAE – January average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:GHI_02 UAE – February average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/html ku:GHI_03 UAE – March average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_04 UAE – April average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_05 UAE – May average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_06 UAE – June average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation global irradiation UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_07 UAE – July average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_08 UAE – August average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_09 UAE – September average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_10 UAE – October average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_11 UAE – November average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain ku:GHI_12 UAE – December average global horizontal irradiation The UAE solar atlas was developed by Masdar Institute, Khalifa University, based on thermal bands of the European Meteorological Satellite (EUMETSAT). Estimated irradiance is validated against independent ground data. Monthly and yearly solar maps are derived as the final product. global irradiation solar UAE Middle East EPSG:4326 CRS:84 51.54194857731894 56.38339080081275 22.64006158919897 26.06102158490991 text/plain esmap:GTI Global irradiation at optimum tilt Solargis developed and owns the global solar model. The dataset represents the total radiation received on a surface with defined tilt and azimuth, fixed or sun-tracking. This is the sum of the scattered radiation, direct and reflected. tilted irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 vortex:GTI-Apr Global April average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Aug Global August average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Dec Global December average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Feb Global February average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Jan Global January average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. GTI-Jan WCS GeoTIFF EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Jul Global July average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Jun Global June average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Mar Global March average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-May Global May average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Nov Global November average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Oct Global October average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Sep Global September average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term monthly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 vortex:GTI-Year Global annual average global tilted irradiation at optimum angle Vortex developed the global solar datasets under the request of IRENA. The dataset represents long-term yearly averages of global tilted irradiation at optimum angle (GTI) over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. EPSG:4326 CRS:84 -180.00000305196974 180.0000030519698 -90.00000305218173 90.00000305218173 seai:GeothermalCalculated1000m Ireland – temperature at 1 km depth This layer is developed by the Sustainable Energy Authority of Ireland (SEAI). It displays the temperature at 1 km depth across the Republic of Ireland. temperature 1 km depth geothermal Ireland EPSG:4326 CRS:84 -10.6174621582031 -5.43126916885376 51.4227867126465 55.4328880310059 text/html seai:GeothermalCalculated100m Ireland – temperature at 0.1 km depth This layer is developed by the Sustainable Energy Authority of Ireland (SEAI). It displays the temperature at 100 m depth across the Republic of Ireland. temperature 100 m depth geothermal Ireland EPSG:4326 CRS:84 -10.4305019378662 -5.43106460571289 51.4224815368652 55.4331855773926 text/html seai:GeothermalCalculated10m Ireland – temperature at 0.01 km depth This layer is developed by the Sustainable Energy Authority of Ireland (SEAI). It displays the temperature at 10 m depth across the Republic of Ireland. temperature 10 m depth geothermal Ireland EPSG:4326 CRS:84 -10.6180143356323 -5.43106460571289 51.4224815368652 55.4331855773926 text/html seai:GeothermalCalculated2500m Ireland – temperature at 2.5 km depth This layer is developed by the Sustainable Energy Authority of Ireland (SEAI). It displays the temperature at 2.5 km depth across the Republic of Ireland. temperature 2.5 km depth geothermal Ireland EPSG:4326 CRS:84 -10.6180143356323 -5.43106460571289 51.4224815368652 55.432559967041 text/html seai:GeothermalCalculated5000m Ireland – temperature at 5 km depth This layer is developed by the Sustainable Energy Authority of Ireland (SEAI). It displays the temperature at 5 km depth across the Republic of Ireland. temperature 5 km depth geothermal Ireland EPSG:4326 CRS:84 -10.6197528839111 -5.43106460571289 51.4224815368652 55.4331855773926 text/html seai:GeothermalCalculated500m Ireland – temperature at 0.5 km depth This layer is developed by the Sustainable Energy Authority of Ireland (SEAI). It displays the temperature at 500 m depth across the Republic of Ireland. temperature 0.5 km depth geothermal Ireland EPSG:4326 CRS:84 -10.6174621582031 -5.43126916885376 51.4227867126465 55.4328880310059 text/html osm:Global power generator network Global power generator network The OpenStreetMap Foundation is an international not-for-profit organization. It provides geospatial data that is reviewed by the community for positional accuracy and confirmed by high resolution satellite imagery. power generator EPSG:4326 CRS:84 -176.3840438 178.0017123 -77.85071470000001 78.6550346 Global power generator network osm:Global road network Global road network The OpenStreetMap Foundation is an international not-for-profit organization. It provides geospatial data that is reviewed by the community for positional accuracy and confirmed by high resolution satellite imagery. road network EPSG:4326 CRS:84 -180.0 180.0 -85.0511284 82.5253207 osm:Global substation network Global substation network The OpenStreetMap Foundation is an international not-for-profit organization. It provides geospatial data that is reviewed by the community for positional accuracy and confirmed by high resolution satellite imagery. substation EPSG:4326 CRS:84 -155.6877535 177.9010222 -75.10005620000001 69.5996837 osm:Global transformer network Global transformer network The OpenStreetMap Foundation is an international not-for-profit organization. It provides geospatial data that is reviewed by the community for positional accuracy and confirmed by high resolution satellite imagery. transformer EPSG:4326 CRS:84 -157.8771078999999 178.0261106 -68.5751479 78.924117 osm:Global transmission network Global transmission network The OpenStreetMap Foundation is an international not-for-profit organization. It provides geospatial data that is reviewed by the community for positional accuracy and confirmed by high resolution satellite imagery. transmission lines EPSG:4326 CRS:84 -179.1993391999999 179.2061249999999 -70.776538 82.5247908 text/plain thewindpower:Global wind power plants Global wind power plants The database is developed by The Wind Power. It describes the location and capacity of over 40,000 wind farms around the world. These include operational, under construction, dismantled, approved, and planned wind farms. wind power plants wind global EPSG:4326 CRS:84 -176.38311767578125 177.5166778564453 -77.8466567993164 71.84000396728516 esa:GlobalRoughnessLength Global roughness length Roughness of a terrain is an important parameter that influences the near-ground wind flow. It is derived based on a lookup table that translates a land cover classification (Climate Change Initiative - Land Cover by ESA) into a roughness length based on EMD international A/S. roughness wind flow land cover EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/html ihfc:Global_heatflow_contours Global heat flow contours The global heat flow contours have been developed by the Royal Melbourne Institute of Technology (RMIT) from the heat flow data points maintained by the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). heat flow geothermal global EPSG:4326 CRS:84 -180.918106079102 180.228393554688 -77.1170043945313 83.2500076293945 text/html ihfc:Global_heatflow_points Global heat flow points The global heat flow data maintained by the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI) covers over 50,000 heat flow data points. heat flow geothermal global EPSG:4326 CRS:84 -180.918106079102 180.0 -77.1170043945313 83.25 text/html hdr:Htotal_Ethiopia Ethiopia – total contained heat The mapping of the earth's stored heat for depths 1 km to 10 km is conducted based on the global protocol standard. The input parameters were density, specific heat capacity, volume per surface area, temperature at the mid-point of each depth interval, and the base temperature. heat geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 irena:Irena_member_states_points Irena_member_states_points IRENA members EPSG:4326 CRS:84 -175.2456506 179.2218874 -41.33484005 64.13499892 esa:LC-L4-300m-2015-v2.0.7 Climate change initiative – global land cover The CCI-LC database has been processed by the CCI-LC consortium led by UCL-Geomatics (Belgium). They are made available to the public by ESA and the consortium. You may use the data for educational and/or scientific purposes, without any fee, subject to proper attribution of the ESA Climate Change Initiative (as in citation). No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. land cover climate change EPSG:4326 CRS:84 -180.0 180.00000000002876 -90.00000000001438 90.0 anu:Lines150GWh_18h Lines150GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines150GWh_18h EPSG:4326 CRS:84 -179.93278 179.3683299999999 -54.80944 59.99972 anu:Lines15GWh_18h Lines15GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines15GWh_18h EPSG:4326 CRS:84 -179.96583 179.84639 -54.88166999999999 59.99972 anu:Lines15GWh_6h Lines15GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines15GWh_6h EPSG:4326 CRS:84 -179.97778 179.84639 -54.88166999999999 59.99972 anu:Lines2GWh_6h Lines2GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines2GWh_6h EPSG:4326 CRS:84 -179.9830599999999 179.8583299999999 -54.93166999999999 59.99972 anu:Lines50GWh_18h Lines50GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines50GWh_18h EPSG:4326 CRS:84 -179.9333299999999 179.72611 -54.88249999999999 59.99972 anu:Lines50GWh_6h Lines50GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines50GWh_6h EPSG:4326 CRS:84 -179.9333299999999 179.72611 -54.88249999999999 59.99972 anu:Lines5GWh_18h Lines5GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines5GWh_18h EPSG:4326 CRS:84 -179.98722 179.86222 -54.88555999999999 59.99972 anu:Lines5GWh_6h Lines5GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Lines5GWh_6h EPSG:4326 CRS:84 -179.98722 179.8602799999999 -54.97694 59.99972 vortex:M.010.1 Global January average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.10 Global October average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.11 Global November average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.12 Global December average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.2 Global February average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.3 Global March average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.4 Global April average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.5 Global May average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.6 Global June average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.7 Global July average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.8 Global August average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.9 Global September average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.010.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.010.year Global annual average wind speed at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 10 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.1 Global January average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.10 Global October average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.11 Global November average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.12 Global December average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.2 Global February average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.3 Global March average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.4 Global April average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.5 Global May average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.6 Global June average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.7 Global July average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.8 Global August average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.9 Global September average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.020.year Global annual average wind speed at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.020.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.1 Global January average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.10 Global October average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.11 Global November average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.12 Global December average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.2 Global February average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.3 Global March average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.4 Global April average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.5 Global May average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.6 Global June average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.7 Global July average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.8 Global August average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.9 Global September average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.030.year Global annual average wind speed at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.030.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.1 Global January average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.10 Global October average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.11 Global November average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.12 Global December average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.2 Global February average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.3 Global March average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.4 Global April average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.060.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.5 Global May average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.00000305196974 180.0000029870948 -60.99999939722237 85.00000305195381 vortex:M.060.6 Global June average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.7 Global July average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.8 Global August average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.9 Global September average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.060.year Global annual average wind speed at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 60 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.1 Global January average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.10 Global October average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.11 Global November average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.12 Global December average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.2 Global February average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.3 Global March average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.4 Global April average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.5 Global May average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.6 Global June average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.7 Global July average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.8 Global August average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.9 Global September average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.080.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.080.year Global annual average wind speed at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 80 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.1 Global January average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.10 Global October average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.11 Global November average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.12 Global December average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.2 Global February average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.3 Global March average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.4 Global April average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.5 Global May average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.6 Global June average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.7 Global July average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.8 Global August average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.9 Global September average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.100.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.100.year Global annual average wind speed at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 100 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.1 Global January average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.10 Global October average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.11 Global November average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.12 Global December average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.2 Global February average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.3 Global March average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.4 Global April average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.120.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.5 Global May average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.6 Global June average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.7 Global July average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.00000305196974 180.0000029870948 -60.99999939722237 85.00000305195381 vortex:M.120.8 Global August average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.9 Global September average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.120.year Global annual average wind speed at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 120 m height global EPSG:4326 CRS:84 -180.00000305196974 180.0000029870948 -60.99999939722237 85.00000305195381 vortex:M.140.1 Global January average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.10 Global October average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.11 Global November average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.12 Global December average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.2 Global February average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.3 Global March average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.4 Global April average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.5 Global May average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.6 Global June average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.7 Global July average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.8 Global August average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.9 Global September average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. M.140.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:M.140.year Global annual average wind speed at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. wind speed 140 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 cnr:MaxEntAllVars Global geothermal suitability index This layer is maintained by the National Research Council (CNR). It indicates the suitability of an area for installing a highly efficient geothermal power plant. The map is the result of data collection and analysis, and a Maximum Entropy model; it can be correlated with geothermal site suitability and geothermal plants operation. suitability index geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/html dtu:PD_050m_global_wgs84_mean Global annual average wind power density at 50 m height Technical University of Denmark via the Global Wind Atlas delivers high-resolution global wind climatology using microscale modelling in the Wind Atlas Analysis and Application Program (WAsP) and captures small scale spatial variability of winds speeds due to high resolution orography and surface roughness change effects. wind power 50 m height global EPSG:4326 CRS:84 -179.9999997 180.0 -59.7556838 83.9043162 dtu:PD_100m_global_wgs84_mean Global annual average wind power density at 100 m height Technical University of Denmark via the Global Wind Atlas delivers high-resolution global wind climatology using microscale modelling in the Wind Atlas Analysis and Application Program (WAsP) and captures small scale spatial variability of winds speeds due to high resolution orography and surface roughness change effects. wind power 100 m height global EPSG:4326 CRS:84 -179.9999997 180.0 -59.7556838 83.9043162 dtu:PD_200m_global_wgs84_mean Global annual average wind power density at 200 m height Technical University of Denmark via the Global Wind Atlas delivers high-resolution global wind climatology using microscale modelling in the Wind Atlas Analysis and Application Program (WAsP) and captures small scale spatial variability of winds speeds due to high resolution orography and surface roughness change effects. wind power 200 m height global EPSG:4326 CRS:84 -179.9999997 180.0 -59.7556838 83.9043162 hdr:P_total_Indonesia Indonesia – total EGS theoretical potential The Global Protocol standard is used for mapping earth's stored heat and EGS theoretical potential. No land was excluded from assessment, and all heat relative to 70 °C above mean surface temperature was assumed to be theoretically available for extraction. theoretical potential geothermal Indonesia EPSG:4326 CRS:84 94.97003943160107 141.12111306846435 -11.09239730743806 6.175946339424888 fao:PlandUse2010 Mozambique – land use for progressive scenario, 2010 The progressive scenario assumes the implementation of improved agricultural management resulting in a high agricultural productivity. The land use changes for each year towards 2010 were modelled on high resolution. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:PlandUse2020 Mozambique – land use for progressive scenario, 2020 The progressive scenario assumes the implementation of improved agricultural management resulting in a high agricultural productivity. The land use changes for each year towards 2020 were modelled on high resolution. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:PlandUse2030 Mozambique – land use for progressive scenario, 2030 The progressive scenario assumes the implementation of improved agricultural management resulting in a high agricultural productivity. The land use changes for each year towards 2030 were modelled on high resolution. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:Plandavailable2010 Mozambique – bioenergy land availability for progressive scenario, 2010 The progressive scenario assumes the implementation of improved agricultural management resulting in a high agricultural productivity. Land availability for bioenergy crops is determined based on suitability indices of land use classes and the maps of excluded areas for bioenergy production. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:Plandavailable2020 Mozambique – bioenergy land availability for progressive scenario, 2020 The progressive scenario assumes the implementation of improved agricultural management resulting in a high agricultural productivity. Land availability for bioenergy crops is determined based on suitability indices of land use classes and the maps of excluded areas for bioenergy production. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 fao:Plandavailable2030 Mozambique – bioenergy land availability for progressive scenario, 2030 The progressive scenario assumes the implementation of improved agricultural management resulting in a high agricultural productivity. Land availability for bioenergy crops is determined based on suitability indices of land use classes and the maps of excluded areas for bioenergy production. EPSG:4326 CRS:84 29.92895198360344 41.64889051972647 -27.090945223109767 -10.374965441650104 anu:Points150GWh_18h Points150GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Points150GWh_18h EPSG:4326 CRS:84 -179.9029199999999 179.3663899999999 -54.80249999999999 59.98846999999999 anu:Points15GWh_18h Points15GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Points15GWh_18h EPSG:4326 CRS:84 -179.94028 179.8344399999999 -54.87986 59.99639 anu:Points15GWh_6h Points15GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Points15GWh_6h EPSG:4326 CRS:84 -179.93431 179.8344399999999 -54.87986 59.99778 anu:Points2GWh_6h Points2GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. Points2GWh_6h features EPSG:4326 CRS:84 -179.96333 179.8540299999999 -54.92347 59.99513999999999 anu:Points50GWh_18h Points50GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Points50GWh_18h EPSG:4326 CRS:84 -179.9070799999999 179.7162499999999 -54.88027999999999 59.99736 anu:Points50GWh_6h Points50GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Points50GWh_6h EPSG:4326 CRS:84 -179.9070799999999 179.7162499999999 -54.88027999999999 59.99736 anu:Points5GWh_18h Points5GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Points5GWh_18h EPSG:4326 CRS:84 -179.93931 179.8413899999999 -54.88180999999999 59.99166999999999 anu:Points5GWh_6h Points5GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. Points5GWh_6h features EPSG:4326 CRS:84 -179.96319 179.8533299999999 -54.96264 59.99457999999999 hdr:Pt_02_global Global total EGS technical potential 2% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:Pt_14_global Global total EGS technical potential 14% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:Pt_20_global Global total EGS technical potential 20% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:Ptech total 0.02_Caribbean Caribbean – total EGS technical potential 2% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:Ptech total 0.02_Ethiopia Ethiopia – total EGS technical potential 2% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:Ptech total 0.02_Indonesia Indonesia – total EGS technical potential 2% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Indonesia EPSG:4326 CRS:84 94.9700394316011 141.1211130684595 -11.092397307444777 6.176543824348724 hdr:Ptech total 0.14_Caribbean Caribbean – total EGS technical potential 14% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:Ptech total 0.14_Ethiopia Ethiopia – total EGS technical potential 14% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:Ptech total 0.14_Indonesia Indonesia – total EGS technical potential 14% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Indonesia EPSG:4326 CRS:84 94.97004 141.12111 -11.092400000000001 6.17654 hdr:Ptech total 0.20_Caribbean Caribbean – total EGS technical potential 20% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:Ptech total 0.20_Ethiopia Ethiopia – total EGS technical potential 20% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:Ptech total 0.20_Indonesia Indonesia – total EGS technical potential 20% recovery EGS technical potential is part of EGS theoretical potential that might be extracted after considering technical limitations. The three main criteria to consider are the availability factor based on land access, recoverability factor, and temperature drawdown factor. technical potential geothermal Indonesia EPSG:4326 CRS:84 94.97004 141.12111 -11.092400000000001 6.17654 hdr:Ptheor total_Caribbean Caribbean – total EGS theoretical potential The Global Protocol standard is used for mapping earth's stored heat and EGS theoretical potential. No land was excluded from assessment, and all heat relative to 70 °C above mean surface temperature was assumed to be theoretically available for extraction. theoretical potential geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:Ptotal_Ethiopia Ethiopia – total EGS theoretical potential The Global Protocol standard is used for mapping earth's stored heat and EGS theoretical potential. No land was excluded from assessment, and all heat relative to 70 °C above mean surface temperature was assumed to be theoretically available for extraction. theoretical potential geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 anu:Reservoirs150GWh_18h Reservoirs150GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs150GWh_18h EPSG:4326 CRS:84 -179.9499999999999 179.3747199999999 -54.84277999999999 59.99972 anu:Reservoirs15GWh_18h Reservoirs15GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs15GWh_18h EPSG:4326 CRS:84 -179.97278 179.86778 -54.88860999999999 59.99972 anu:Reservoirs15GWh_6h Reservoirs15GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs15GWh_6h EPSG:4326 CRS:84 -179.98167 179.86778 -54.88860999999999 59.99972 anu:Reservoirs2GWh_6h Reservoirs2GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs2GWh_6h EPSG:4326 CRS:84 -179.98611 179.86472 -54.93693999999999 59.99972 anu:Reservoirs50GWh_18h Reservoirs50GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs50GWh_18h EPSG:4326 CRS:84 -179.94778 179.74806 -54.88971999999999 59.99972 anu:Reservoirs50GWh_6h Reservoirs50GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs50GWh_6h EPSG:4326 CRS:84 -179.94778 179.74806 -54.88971999999999 59.99972 anu:Reservoirs5GWh_18h Reservoirs5GWh_18h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. Reservoirs5GWh_18h features EPSG:4326 CRS:84 -179.9913899999999 179.8822199999999 -54.8875 59.99972 anu:Reservoirs5GWh_6h Reservoirs5GWh_6h None of the PHES sites have been the subject of geological, hydrological, environmental, heritage, land tenure, commercial feasibility, and other studies, and it is not known whether any site would be suitable or imply any rights for development. The datasets are provided “as is” and are made available subject to the ANU terms and conditions. No warranties provided. The datasets shall be used in accordance with the Global Atlas’s terms of use. features Reservoirs5GWh_6h EPSG:4326 CRS:84 -179.9913899999999 179.8822199999999 -54.97971999999999 59.99972 ciat:SRTM1km_slope_degrees Slope – SRTM digital elevation data The slope is calculated and provided “as is” by IRENA, based on the Shuttle Radar Topography Mission (SRTM) digital elevation data, initially formulated by NASA, and disseminated by the International Center for Tropical Agriculture (CIAT) (Jarvais et al., 2008). No warranties provided. EPSG:4326 CRS:84 -179.999983338 179.99412332599996 -60.009322084 60.008333328 ciat:SRTM_1km SRTM digital elevation data - 1 km The Shuttle Radar Topography Mission (SRTM) digital elevation data, initially formulated by NASA, is high-quality elevation data for developing nations. The Data is provided “as is” and is made available subject to the International Center for Tropical Agriculture (CIAT) and the Global Atlas terms of use, respectively. No warranties provided. elevation EPSG:4326 CRS:84 -180.00833333376795 180.008333318498 -60.00833333376795 60.00833332809803 ciat:SRTM_250m SRTM digital elevation data - 250 m The Shuttle Radar Topography Mission (SRTM) digital elevation data, initially formulated by NASA, is high-quality elevation data for developing nations. The Data is provided “as is” and is made available subject to the International Center for Tropical Agriculture (CIAT) and the Global Atlas terms of use, respectively. No warranties provided. elevation EPSG:4326 CRS:84 -180.01041653225002 180.01041622505 -60.010416666649995 60.01041647465001 ciat:SRTM_500m SRTM digital elevation data - 500 m The Shuttle Radar Topography Mission (SRTM) digital elevation data, initially formulated by NASA, is high-quality elevation data for developing nations. The Data is provided “as is” and is made available subject to the International Center for Tropical Agriculture (CIAT) and the Global Atlas terms of use, respectively. No warranties provided. elevation EPSG:4326 CRS:84 -180.00833333376795 180.00833327529608 -60.00833333376795 60.008333313696056 hdr:T10000_Caribbean Caribbean – temperature at 10 km depth The Global Protocol standard is used for mapping earth's temperature at 10 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 10 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T10000_Ethiopia Ethiopia – temperature at 10 km depth The Global Protocol standard is used for mapping earth's temperature at 10 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 10 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T10000_Indonesia Indonesia – temperature at 10 km depth The Global Protocol standard is used for mapping earth's temperature at 10 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 10 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T1000_Caribbean Caribbean – temperature at 1 km depth The Global Protocol standard is used for mapping earth's temperature at 1 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 1 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T1000_Ethiopia Ethiopia – temperature at 1 km depth The Global Protocol standard is used for mapping earth's temperature at 1 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 1 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T1000_Indonesia Indonesia – temperature at 1 km depth The Global Protocol standard is used for mapping earth's temperature at 1 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 1 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T1km_global Global temperature at 1 km depth The Global Protocol standard is used for mapping earth's temperature at 1 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 1 km depth geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:T2000_Caribbean Caribbean – temperature at 2 km depth The Global Protocol standard is used for mapping earth's temperature at 2 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 2 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T2000_Ethiopia Ethiopia – temperature at 2 km depth The Global Protocol standard is used for mapping earth's temperature at 2 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 2 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T2000_Indonesia Indonesia – temperature at 2 km depth The Global Protocol standard is used for mapping earth's temperature at 2 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 2 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T2km_global Global temperature at 2 km depth The Global Protocol standard is used for mapping earth's temperature at 2 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 2 km depth geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:T3000_Caribbean Caribbean – temperature at 3 km depth The Global Protocol standard is used for mapping earth's temperature at 3 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 3 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T3000_Ethiopia Ethiopia – temperature at 3 km depth The Global Protocol standard is used for mapping earth's temperature at 3 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 3 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T3000_Indonesia Indonesia – temperature at 3 km depth The Global Protocol standard is used for mapping earth's temperature at 3 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 3 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T3km_global Global temperature at 3 km depth The Global Protocol standard is used for mapping earth's temperature at 3 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 3 km depth geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:T4000_Caribbean Caribbean – temperature at 4 km depth The Global Protocol standard is used for mapping earth's temperature at 4 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 4 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T4000_Ethiopia Ethiopia – temperature at 4 km depth The Global Protocol standard is used for mapping earth's temperature at 4 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 4 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T4000_Indonesia Indonesia – temperature at 4 km depth The Global Protocol standard is used for mapping earth's temperature at 4 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 4 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T5000_Caribbean Caribbean – temperature at 5 km depth The Global Protocol standard is used for mapping earth's temperature at 5 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 5 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T5000_Ethiopia Ethiopia – temperature at 5 km depth The Global Protocol standard is used for mapping earth's temperature at 5 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 5 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T5000_Indonesia Indonesia – temperature at 5 km depth The Global Protocol standard is used for mapping earth's temperature at 5 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 5 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T500_Caribbean Caribbean – temperature at 0.5 km depth The Global Protocol standard is used for mapping earth's temperature at 0.5 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 0.5 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T500_Ethiopia Ethiopia – temperature at 0.5 km depth The Global Protocol standard is used for mapping earth's temperature at 0.5 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 0.5 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T500_Indonesia Indonesia – temperature at 0.5 km depth The Global Protocol standard is used for mapping earth's temperature at 0.5 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 0.5 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T6000_Caribbean Caribbean – temperature at 6 km depth The Global Protocol standard is used for mapping earth's temperature at 6 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 6 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T6000_Ethiopia Ethiopia – temperature at 6 km depth The Global Protocol standard is used for mapping earth's temperature at 6 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 6 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T6000_Indonesia Indonesia – temperature at 6 km depth The Global Protocol standard is used for mapping earth's temperature at 6 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 6 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T7000_Caribbean Caribbean – temperature at 7 km depth The Global Protocol standard is used for mapping earth's temperature at 7 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 7 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T7000_Ethiopia Ethiopia – temperature at 7 km depth The Global Protocol standard is used for mapping earth's temperature at 7 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 7 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T7000_Indonesia Indonesia – temperature at 7 km depth The Global Protocol standard is used for mapping earth's temperature at 7 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 7 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T8000_Caribbean Caribbean – temperature at 8 km depth The Global Protocol standard is used for mapping earth's temperature at 8 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 8 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T8000_Ethiopia Ethiopia – temperature at 8 km depth The Global Protocol standard is used for mapping earth's temperature at 8 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 8 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T8000_Indonesia Indonesia – temperature at 8 km depth The Global Protocol standard is used for mapping earth's temperature at 8 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 8 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:T9000_Caribbean Caribbean – temperature at 9 km depth The Global Protocol standard is used for mapping earth's temperature at 9 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 9 km depth geothermal Caribbean EPSG:3180 CRS:84 -79.78116779177714 -58.18733309580647 9.486614366621868 21.25040543028675 hdr:T9000_Ethiopia Ethiopia – temperature at 9 km depth The Global Protocol standard is used for mapping earth's temperature at 9 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 9 km depth geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:T9000_Indonesia Indonesia – temperature at 9 km depth The Global Protocol standard is used for mapping earth's temperature at 9 km depth following assumptions of conductive heat flow and conservation of energy. It relies on surface heat flow measurements and thermal properties of earth's basement and sediment. temperature 9 km depth geothermal Indonesia EPSG:4326 CRS:84 94.97003943163044 141.12111306849445 -11.092397307391026 6.175946339473525 hdr:TotalTheoretical_global Global EGS theoretical potential 2.5 – 3.5 km depth Theoretical potential for EGS was mapped for 2.5–3.5 km depth, including land, relative to 70°C above mean surface temperature. EGS geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 hdr:Ts_Ethiopia Ethiopia – sediment-basement interface temperature The mapping of the earth's temperature at the sediment–basement interface is conducted based on the global protocol standard. The required input parameters were surface temperature, surface heat flow, sediment thickness, sediment thermal conductivity, and sediment heat generation. sediment-basement geothermal Ethiopia EPSG:4326 CRS:84 31.5 49.5 2.5 15.5 hdr:Ts_global Global temperature at sediment-basement boundary The Global Protocol standard is used for mapping earth's temperature at the sediment–basement interface. It relies on surface temperature measurements, surface heat flow, sediment thickness, sediment thermal conductivity, and sediment heat generation. sediment-basement geothermal global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.1 Global January average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.10 Global October average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.11 Global November average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.12 Global December average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.2 Global February average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.3 Global March average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.4 Global April average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.5 Global May average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.6 Global June average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.7 Global July average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.8 Global August average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.9 Global September average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.010.year Global annual average wind power density at 10 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.010.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.1 Global January average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.10 Global October average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.11 Global November average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.12 Global December average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.2 Global February average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.3 Global March average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.4 Global April average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.5 Global May average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.6 Global June average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.7 Global July average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.8 Global August average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.9 Global September average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.020.year Global annual average wind power density at 20 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.020.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.1 Global January average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.10 Global October average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.11 Global November average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.12 Global December average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.2 Global February average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.3 Global March average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.4 Global April average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.5 Global May average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.6 Global June average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.7 Global July average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.8 Global August average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.9 Global September average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.030.year Global annual average wind power density at 30 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.030.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.1 Global January average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.10 Global October average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.11 Global November average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.12 Global December average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.2 Global February average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.3 Global March average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.4 Global April average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.5 Global May average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.00000305196974 180.0000029870948 -60.99999939722237 85.00000305195381 vortex:WPD.060.6 Global June average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.7 Global July average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.8 Global August average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.9 Global September average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.060.year Global annual average wind power density at 60 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.060.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.1 Global January average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.10 Global October average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.11 Global November average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.12 Global December average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.2 Global February average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.3 Global March average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.4 Global April average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.5 Global May average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.6 Global June average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.7 Global July average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.8 Global August average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.9 Global September average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.080.year Global annual average wind power density at 80 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.080.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.1 Global January average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.10 Global October average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.11 Global November average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.12 Global December average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.2 Global February average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.3 Global March average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.4 Global April average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.5 Global May average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.6 Global June average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.7 Global July average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.8 Global August average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.9 Global September average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.100.year Global annual average wind power density at 100 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.100.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.1 Global January average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.10 Global October average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.11 Global November average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.12 Global December average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.2 Global February average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.3 Global March average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.4 Global April average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.5 Global May average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.6 Global June average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.7 Global July average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.00000305196974 180.0000029870948 -60.99999939722237 85.00000305195381 vortex:WPD.120.8 Global August average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.9 Global September average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.120.year Global annual average wind power density at 120 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.120.year WCS GeoTIFF EPSG:4326 CRS:84 -180.00000305196974 180.0000029870948 -60.99999939722237 85.00000305195381 vortex:WPD.140.1 Global January average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.1 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.10 Global October average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.10 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.11 Global November average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.11 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.12 Global December average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.12 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.2 Global February average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.2 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.3 Global March average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.3 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.4 Global April average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.4 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.5 Global May average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.5 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.6 Global June average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.6 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.7 Global July average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.7 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.8 Global August average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.8 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.9 Global September average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term monthly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.9 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 vortex:WPD.140.year Global annual average wind power density at 140 m height Vortex developed the global wind datasets under the request of IRENA. The dataset represents long-term yearly averages of wind data at different heights over a 20-year period. Datasets are provided “as is”, users assume full responsibility to ensure compliance with the Global Atlas’ terms of use. No warranties provided. WPD.140.year WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 dtu:WS_050m_global_wgs84_mean Global annual average wind speed at 50 m height Technical University of Denmark via the Global Wind Atlas delivers high-resolution global wind climatology using microscale modelling in the Wind Atlas Analysis and Application Program (WAsP) and captures small scale spatial variability of winds speeds due to high resolution orography and surface roughness change effects. wind speed 50 m height global EPSG:4326 CRS:84 -179.9999997 180.0 -59.7556838 83.9043162 dtu:WS_100m_global_wgs84_mean Global annual average wind speed at 100 m height Technical University of Denmark via the Global Wind Atlas delivers high-resolution global wind climatology using microscale modelling in the Wind Atlas Analysis and Application Program (WAsP) and captures small scale spatial variability of winds speeds due to high resolution orography and surface roughness change effects. wind speed 100 m height global EPSG:4326 CRS:84 -179.9999997 180.0 -59.7556838 83.9043162 dtu:WS_200m_global_wgs84_mean Global annual average wind speed at 200 m height Technical University of Denmark via the Global Wind Atlas delivers high-resolution global wind climatology using microscale modelling in the Wind Atlas Analysis and Application Program (WAsP) and captures small scale spatial variability of winds speeds due to high resolution orography and surface roughness change effects. wind speed 200 m height global EPSG:4326 CRS:84 -179.9999997 180.0 -59.7556838 83.9043162 esmap:World_Solar_DIF Global annual average daily diffuse horizontal irradiation Solargis developed and owns the global solar model. The dataset represents long-term yearly averages of daily totals of diffuse horizontal irradiation (DIF), covering the period 1994/1999/2007 up to 2015 (depending on the region). diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:World_Solar_DNI Global annual average daily direct normal irradiation Solargis developed and owns the global solar model. The dataset represents long-term yearly averages of daily totals of direct normal irradiation (DNI), covering the period 1994/1999/2007 up to 2015 (depending on the region). direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:World_Solar_GHI Global annual average daily global horizontal irradiation Solargis developed and owns the global solar model. The dataset represents long-term yearly averages of daily totals of global horizontal irradiation (GHI), covering the period 1994/1999/2007 up to 2015 (depending on the region). global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:World_Solar_OPTA Global optimum tilt for equator-tilted PV modules Solargis developed and owns the global solar model. The dataset represents the optimum angle which is used for maximizing the yearly PV production. Optimum angle is calculated by Solargis algorithms. photovoltaic solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:World_Solar_PVOUT Global potential photovoltaic electricity production Solargis developed and owns the global solar model. The dataset represents longterm yearly averages of daily total potential photovoltaic electricity production, covering the period 1994/1999/2007 up to 2015 (depending on the region). It is used for the assessment of PV power production potential, which is calculated by Solargis algorithms. photovoltaic solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:World_Solar_TEMP Global air temperature at 2 m height Solargis developed and owns the global solar model. The dataset represents longterm yearly averages of air temperature in °C, covering the period of 1994-2015. temperature solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:World_Solar_elevation Global terrain elevation Solargis developed and owns the global solar model. The dataset represents terrain elevation above sea level with the purpose of defining the limiting conditions for location of solar power plants. Terrain elevation data from SRTM30 were used and postprocessed by Solargis. elevation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 text/plain text/plain idae:accessible_potencial_high_temperature Spain – accessible geothermal energy (HT) This layer shows potential areas for high temperature (HT) geothermal systems greater than 150°C in the Canary Islands. The map highlights several areas and estimates the accessible potential for each area in GWh. high temperature potential geothermal Spain EPSG:4326 CRS:84 -17.8882293701172 -13.7506628036499 28.0271892547607 29.0009021759033 text/html idae:accessible_potencial_low_temperature Spain – accessible geothermal energy (LT) This layer shows potential areas for low temperature (LT) geothermal systems with temperatures less than 100°C. The map highlights several areas and estimates the accessible potential for each area in GWh. low temperature potential geothermal Spain EPSG:4326 CRS:84 -8.79959583282471 3.14302349090576 36.028938293457 43.4248428344727 idae:accessible_potencial_medium_temperature Spain – accessible geothermal energy (MT) This layer shows potential areas for medium temperature (MT) geothermal systems between 100 - 150°C. The map highlights several areas and estimates the accessible potential for each area in GWh. medium temperature potential geothermal Spain EPSG:4326 CRS:84 -15.5305871963501 2.70898199081421 27.784143447876 43.4005966186523 idae:accessible_potencial_stimulated_systems Spain – accessible EGS potential This layer shows potential areas for the accessible enhanced geothermal systems (EGS). The map highlights several areas with significant potential in GWh. total potential geothermal Spain EPSG:4326 CRS:84 -8.75721836090088 2.82886552810669 36.9963912963867 43.1276473999023 afrep:afrep_hydro_2020 Africa – seasonal hydropower availability, current plants The African Renewable Electricity Profiles for Energy Modelling – Hydropower (AfREP-Hydro) databases provides monthly capacity factor profiles for existing and future plants. The dataset is provided “as is” by IRENA and its authors. It has been calculated based on several datasets including FAO’s Aquastat, GRanD, GPPD, GRDC, FHReD, WARPD, IRENA WAPP 2018, and IRENA ACEC 2021 dataset. No warranties provided. hydropower river Africa EPSG:4326 CRS:84 -13.2800006866455 48.620002746582 -32.0300025939941 36.8000030517578 afrep:afrep_hydro_2030 Africa – seasonal hydropower availability, 2030 plants The African Renewable Electricity Profiles for Energy Modelling – Hydropower (AfREP-Hydro) databases provides monthly capacity factor profiles for existing and future plants. The dataset is provided “as is” by IRENA and its authors. It has been calculated based on several datasets including FAO’s Aquastat, GRanD, GPPD, GRDC, FHReD, WARPD, IRENA WAPP 2018, and IRENA ACEC 2021 dataset. No warranties provided. hydropower river Africa EPSG:4326 CRS:84 -14.6800003051758 49.2100028991699 -32.0300025939941 36.8000030517578 afrep:afrep_hydro_all_fleet Africa – seasonal hydropower availability, all potential plants The African Renewable Electricity Profiles for Energy Modelling – Hydropower (AfREP-Hydro) databases provides monthly capacity factor profiles for existing and future plants. The dataset is provided “as is” by IRENA and its authors. It has been calculated based on several datasets including FAO’s Aquastat, GRanD, GPPD, GRDC, FHReD, WARPD, IRENA WAPP 2018, and IRENA ACEC 2021 dataset. No warranties provided. hydropower river Africa EPSG:4326 CRS:84 -14.6800003051758 49.2100028991699 -32.0300025939941 36.8000030517578 irena:africa_hydropower_installed_capacity africa_hydropower_installed_capacity features africa_hydropower_installed_capacity EPSG:4326 CRS:84 -15.397855758667 46.6979064941406 -29.5834922790527 34.1142845153809 irena:africa_hydropower_potential africa_hydropower_potential features africa_hydropower_potential EPSG:4326 CRS:84 -15.397855758667 46.6979064941406 -29.5834922790527 34.1142845153809 irena:africa_solar_installed_capacity africa_solar_installed_capacity features africa_solar_installed_capacity EPSG:4326 CRS:84 -22.7777843475342 57.6312294006348 -29.5834922790527 34.1142845153809 irena:africa_solar_potential africa_solar_potential features africa_solar_potential EPSG:4326 CRS:84 -22.7777843475342 57.6312294006348 -29.5834922790527 34.1142845153809 irena:africa_wind_installed_capacity africa_wind_installed_capacity features africa_wind_installed_capacity EPSG:4326 CRS:84 -22.7776794433594 57.6312294006348 -29.5834922790527 34.1142845153809 irena:africa_wind_potential africa_wind_potential features africa_wind_potential EPSG:4326 CRS:84 -22.7776794433594 57.6312294006348 -29.5834922790527 34.1142845153809 meteotest:annual_dhi_meteotest Global annual average diffuse horizontal irradiation annual_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -181.875 180.9375 -56.1875 69.0 meteotest:annual_dni_meteotest Global annual average direct normal irradiation annual_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 meteotest:annual_ghi_meteotest Global annual average global horizontal irradiation annual_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 meteotest:apr_dhi_meteotest Global April average diffuse horizontal irradiation apr_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:apr_dni_meteotest Global April average direct normal irradiation apr_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:apr_ghi_meteotest Global April average global horizontal irradiation apr_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:aug_dhi_meteotest Global August average diffuse horizontal irradiation aug_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:aug_dni_meteotest Global August average direct normal irradiation aug_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:aug_ghi_meteotest Global August average global horizontal irradiation aug_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 hdr:australia_geothermal_10000m Australia – temperature at 10 km depth This map shows the average predicted temperature of Australian basement rocks at 10 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 10 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_3500m Australia – temperature at 3.5 km depth This map shows the average predicted temperature of Australian basement rocks at 3.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 3.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_4500m Australia – temperature at 4.5 km depth This map shows the average predicted temperature of Australian basement rocks at 4.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 4.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_5500m Australia – temperature at 5.5 km depth This map shows the average predicted temperature of Australian basement rocks at 5.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 5.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_6500m Australia – temperature at 6.5 km depth This map shows the average predicted temperature of Australian basement rocks at 6.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 6.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_7500m Australia – temperature at 7.5 km depth This map shows the average predicted temperature of Australian basement rocks at 7.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 7.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_8500m Australia – temperature at 8.5 km depth This map shows the average predicted temperature of Australian basement rocks at 8.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 8.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 hdr:australia_geothermal_9500m Australia – temperature at 9.5 km depth This map shows the average predicted temperature of Australian basement rocks at 9.5 km depth. The map is a direct indicator of the potential for engineered geothermal systems development. This dataset was developed by Hot Dry Rocks PL in conjunction with Geowatt AG, Southern Methodist University and Google.org temperature 9.5 km depth geothermal Australia EPSG:4326 CRS:84 113.3328805 153.0827215 -43.5831595 -10.7499575 idae:available_potencial_high_temperature Spain – available geothermal energy (HT) This layer shows potential areas for high temperature (HT) geothermal systems greater than 150°C in the Canary Islands. The map highlights several areas and estimates the available potential for each area in GWh. high temperature potential geothermal Spain EPSG:4326 CRS:84 -17.8882293701172 -13.7506628036499 28.0271892547607 29.0009021759033 idae:available_potencial_low_temperature Spain – available geothermal energy (LT) This layer shows potential areas for low temperature (LT) geothermal systems with temperatures less than 100°C. The map highlights several areas and estimates the available potential for each area in GWh. low temperature potential geothermal Spain EPSG:4326 CRS:84 -8.10303211212158 2.44593691825867 36.7124328613281 43.3478584289551 idae:available_potencial_medium_temperature Spain – available geothermal energy (MT) This layer shows potential areas for medium temperature (MT) geothermal systems between 100 - 150°C. The map highlights several areas and estimates the available potential for each area in GWh. medium temperature potential geothermal Spain EPSG:4326 CRS:84 -15.5305871963501 2.70898199081421 27.784143447876 43.2854156494141 idae:available_potencial_stimulated_systems Spain – available EGS potential This layer shows potential areas for the available enhanced geothermal systems (EGS). The map highlights several areas with significant potential in GWh. total potential geothermal Spain EPSG:4326 CRS:84 -8.75721836090088 2.82886552810669 36.9963912963867 43.1276473999023 irena:bioenergy_cities bioenergy_cities Municipal Waste Cities in the Bioenergy Simulator features cities EPSG:4326 CRS:84 -124.625511169434 180.709823608398 -41.8202972412109 65.5433807373047 bom:bom_solar_annual Australia – annual average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_apr Australia – April average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_aug Australia – August average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_aut Australia – autumn average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_dec Australia – December average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiance solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_dry Australia – dry seasonal average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_feb Australia – February average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_jan Australia – January average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiance solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_jul Australia – July average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_jun Australia – June average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_mar Australia – March average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_may Australia – May average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_nov Australia – November average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_oct Australia – October average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_sep Australia – September average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_spr Australia – spring average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_sum Australia – summer average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_wet Australia – wet seasonal average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html bom:bom_solar_win Australia – winter average global horizontal irradiation The datasets are provided “as is” subject to the Bureau of Meteorology’s license (License) (read preconditions). Users assume full responsibility to ensure compliance with the License requirements, as well as with the Global Atlas’s terms of use. Do not reproduce the Datasets and related information without the Bureau’s written permission. No warranties provided. global irradiation solar Australia EPSG:4283 CRS:84 112.025 153.975 -43.975 -10.025 text/html irena:burkina_faso_solar_suitability Burkina Faso – utility scale solar PV suitability map The map indicates suitable areas for deploying utility-scale solar photovoltaic. The criteria used to identify these areas includes solar resource data, topography features, proximity to transmission line and road networks, and proximity to population centres and environmentally sensitive areas. burkina_faso_solar_suitability WCS GeoTIFF EPSG:4326 CRS:84 -5.580657017 2.4206020180000003 9.401442072 15.07600705 irena:burkina_faso_wind_suitability Burkina Faso – utility scale wind suitability map The map indicates suitable areas for deploying utility-scale wind projects. The criteria used to identify these areas includes wind resource data, topography features, proximity to transmission line and road networks, and proximity to population centres and environmentally sensitive areas. burkina_faso_wind_suitability WCS GeoTIFF EPSG:4326 CRS:84 -5.580657018 2.4206020180000003 9.401442073 15.07600705 esa:copernicus90m Copernicus digital elevation data - 90m The Copernicus DEM is derived from the German Aerospace Centre (DLR) and Airbus Defence and Space GmbH. The organisations in charge of the Copernicus programme by law or by delegation do not incur any liability for any use of the Copernicus WorldDEM™-90. The dataset is provided “as is” and is subject to the ESA-User license, the Mission-specific Annex, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0025 180.00166666665967 -90.00041666666257 84.00041666666667 fao:csindex_high_input_level_rain-fed_barley Global suitability index for rainfed barley, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy barley EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_biomass_sorghum Global suitability index for rainfed biomass sorghum, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_cassava Global suitability index for rainfed cassava, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy cassava EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_cocoa Global suitability index for rainfed cocoa, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_coconut Global suitability index for rainfed coconut, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy coconut EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_coffee Global suitability index for rainfed coffee, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_cotton Global suitability index for rainfed cotton, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_dryland_rice Global suitability index for rainfed dryland rice, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_groundnut Global suitability index for rainfed groundnut, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. csindex_high_input_level_rain-fed_groundnut WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_jatropha Global suitability index for rainfed jatropha, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy jastropha EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_maize Global suitability index for rainfed maize, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy maize EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_miscanthus Global suitability index for rainfed miscanthus, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy miscanthus EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_oat Global suitability index for rainfed oat, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. csindex_high_input_level_rain-fed_oat WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_oil_palm Global suitability index for rainfed oil palm, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy oil palm EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_olive Global suitability index for rainfed olive, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_pearl_millet Global suitability index for rainfed pearl millet, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_rape Global suitability index for rainfed rape, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy rape EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_reed_canary_grass Global suitability index for rainfed reed canary grass, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy canary grass EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_rye Global suitability index for rainfed rye, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_sorghum Global suitability index for rainfed sorghum, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sorghum EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_soybean Global suitability index for rainfed soybean, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy soybean EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_sugarbeet Global suitability index for rainfed sugarbeet, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sugarbeet EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_sugarcane Global suitability index for rainfed sugarcane, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sugarcane EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_sunflower Global suitability index for rainfed sunflower, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sunflower EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_switchgrass Global suitability index for rainfed switchgrass, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy switchgrass EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_high_input_level_rain-fed_wetland_rice Global suitability index for rainfed wetland rice, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_high_input_level_rain-fed_wheat Global suitability index for rainfed wheat, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy wheat EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_barley Global suitability index for rainfed barley, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy barley EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_biomass_sorghum Global suitability index for rainfed biomass sorghum, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_cassava Global suitability index for rainfed cassava, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy cassava EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_cocoa Global suitability index for rainfed cocoa, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_coconut Global suitability index for rainfed coconut, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy coconut EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_coffee Global suitability index for rainfed coffee, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_cotton Global suitability index for rainfed cotton, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_dryland_rice Global suitability index for rainfed dryland rice, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_groundnut Global suitability index for rainfed groundnut, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_jatropha Global suitability index for rainfed jatropha, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy jastropha EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_maize Global suitability index for rainfed maize, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy maize EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_miscanthus Global suitability index for rainfed miscanthus, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy miscanthus EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_oat Global suitability index for rainfed oat, high input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_oil_palm Global suitability index for rainfed oil palm, low input crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy oil palm EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_olive Global suitability index for rainfed olive, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_pearl_millet Global suitability index for rainfed pearl millet, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_rape Global suitability index for rainfed rape, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy rape EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_reed_canary_grass Global suitability index for rainfed reed canary grass, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy canary grass EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_rye Global suitability index for rainfed rye, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_sorghum Global suitability index for rainfed sorghum, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sorghum EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_soybean Global suitability index for rainfed soybean, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy soybean EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_sugarbeet Global suitability index for rainfed sugarbeet, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sugarbeet EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_sugarcane Global suitability index for rainfed sugarcane, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sugarcane EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_sunflower Global suitability index for rainfed sunflower, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy sunflower EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_switchgrass Global suitability index for rainfed switchgrass, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy switchgrass EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png fao:csindex_low_input_level_rain-fed_wetland_rice Global suitability index for rainfed wetland rice, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. The data is provided “as is” and is subject to the FAO Terms and Conditions on Reuse of Web Content, GAEZ v4 Platform Disclaimer, and the Global Atlas terms of use. No Warranties provided. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 fao:csindex_low_input_level_rain-fed_wheat Global suitability index for rainfed wheat, low input Crop suitability index (SI) reflects suitability levels and distributions within grid cells by classes based on SI values between 0 and 100. It is derived using a model that considers the average climate of baseline period 1961-1990. crop suitability index bioenergy wheat EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Food and Agriculture Organization of the United Nations image/png meteotest:dec_dhi_meteotest Global December average diffuse horizontal irradiation dec_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:dec_dni_meteotest Global December average direct normal irradiation dec_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:dec_ghi_meteotest Global December average global horizontal irradiation dec_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 ecreee:ecowas_hydropower ECOWAS – hydropower potential ECOWAS Centre for Renewable Energy and Energy Efficiency (ECREEE) with Pöyry Energy GmbH commenced a small-hydropower program to address untapped potential of mini/micro/small hydropower in ECOWAS countries (excl. Cabo Verde) and overcome barriers related to discharge data gaps and policies. hydropower river ECOWAS EPSG:4326 CRS:84 -17.3312015533447 15.8438005447388 4.277099609375 17.0187015533447 text/html esmap:esmap_global_solar_annual_DIF Global annual average diffuse horizontal irradiation Solargis developed and owns the global solar model. The dataset represents long-term yearly averages of diffuse horizontal irradiation (DIF), covering the period 1994/1999/2007 up to 2018 (depending on the region). diffuse irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:esmap_global_solar_annual_DNI Global annual average direct normal irradiation Solargis developed and owns the global solar model. The dataset represents long-term yearly averages of direct normal irradiation (DNI), covering the period 1994/1999/2007 up to 2018 (depending on the region). direct irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 esmap:esmap_global_solar_annual_GHI Global annual average global horizontal irradiation Solargis developed and owns the global solar model. The dataset represents long-term yearly averages of global horizontal irradiation (GHI), covering the period 1994/1999/2007 up to 2018 (depending on the region). global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -55.0 60.0 meteotest:feb_dhi_meteotest Global February average diffuse horizontal irradiation feb_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:feb_dni_meteotest Global February average direct normal irradiation feb_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:feb_ghi_meteotest Global February average global horizontal irradiation feb_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 gebco:gebco2020 Global gridded bathymetry The GEBCO global grid is provided “as is” and is subject to the terms of use as defined by the General Bathymetric Chart of the Oceans (GEBCO) and the IRENA Global Atlas, respectively. Data provided without any warranties regarding its accuracy and/or fitness. Not to be used for navigation or for any other purpose involving safety at sea. bathymetry elevation global EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/html gebco:gebco2021 Global gridded bathymetry The GEBCO global grid is provided “as is” and is subject to the terms of use as defined by the General Bathymetric Chart of the Oceans (GEBCO) and the IRENA Global Atlas, respectively. Data provided without any warranties regarding its accuracy and/or fitness. Not to be used for navigation or for any other purpose involving safety at sea. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/html gebco:gebco2024 Global gridded bathymetry The GEBCO global grid is provided “as is” and is subject to the terms of use as defined by the General Bathymetric Chart of the Oceans (GEBCO) and the IRENA Global Atlas, respectively. Data provided without any warranties regarding its accuracy and/or fitness. Not to be used for navigation or for any other purpose involving safety at sea. gebco_2024 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 tge:geo_power_plants Global geothermal power plants This layer is maintained by the National Research Council (CNR). The global geothermal plants database is an inventory of existing global geothermal plants i.e. the plant name, field name, location, name plate (installed) capacity, the operator, etc. The data is available for download and consultation on the D4Science platform. geothermal power plants geothermal global EPSG:4326 CRS:84 -154.888244628906 176.727111816406 -38.630313873291 66.0747833251953 mta:geothermal_resources Turkey – geothermal sites The layer classifies 375 identified geothermal sites by fluid temperature range. In addition, the layer also contains the location, estimated potential, elevation, actual fluid temperature and flow rates, area, etc for each site. temperature geothermal Turkey EPSG:4326 CRS:84 26.1693992614746 44.1700019836426 36.366096496582 41.4205017089844 vaisala:global_ghi Global average daily global horizontal irradiance VAISALA's global solar dataset is derived from half-hourly, high-resolution visible satellite imagery observations at a 2 arc minute resolution. VAISALA processed this information using a combination of in-house research and algorithms published in peer-reviewed scientific literature. global irradiance solar global EPSG:4326 CRS:84 -180.0 180.0 -90.0 83.62359619137919 image/png tudelft:global_hydropower Global hydropower potential Delft University of Technology (TU-Delft) rendered global high-resolution estimates of potential hydropower plant locations (for micro to large sized plants) based on the GMTED2010 breakline dataset (elevation) and runoff data from the GRDC. hydropower river global EPSG:4326 CRS:84 -168.685409545898 192.174987792969 -55.3578262329102 82.7828216552734 text/html irena:global_lcoh_opt_2030 Global levelised cost of hydrogen in 2030 – optimistic scenario global_lcoh_opt_2030 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_opt_2050 Global levelised cost of hydrogen in 2050 – optimistic scenario global_lcoh_opt_2050 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_opt_ws_2030 Global levelised cost of hydrogen in 2030 – optimistic scenario with water stress global_lcoh_opt_ws_2030 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_opt_ws_2050 Global levelised cost of hydrogen in 2050 – optimistic scenario with water stress global_lcoh_opt_ws_2050 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_pess_2030 Global levelised cost of hydrogen in 2030 – pessimistic scenario global_lcoh_pess_2030 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_pess_2050 Global levelised cost of hydrogen in 2050 – pessimistic scenario global_lcoh_pess_2050 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_pess_ws_2030 Global levelised cost of hydrogen in 2030 – pessimistic scenario with water stress global_lcoh_pess_ws_2030 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_lcoh_pess_ws_2050 Global levelised cost of hydrogen in 2050 – pessimistic scenario with water stress global_lcoh_pess_ws_2050 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 irena:global_ocean_shore_lines Global ocean shore line features global_ocean_shore_lines EPSG:4326 CRS:84 -180.0 180.0 -89.0 83.6274185180664 wri:global_power_plants_renewable global_power_plants_renewable global_power_plants_renewable features EPSG:4326 CRS:84 -159.7621 179.3887 -77.8428 71.0109 irena:global_solar_suitability Global utility-scale solar suitability map The map indicates potential suitable areas for utility-scale solar power applications. These areas were estimated using IRENA's suitability analysis methodology, which utilises solar resource maps, topography features, proximity to transmission line and road networks, and proximity to population centres and environmentally sensitive areas. suitability solar global EPSG:4326 CRS:84 -179.999999748 179.996515117 -55.980441932999994 81.849672617 irena:global_urban_areas Global population centre Derived from ESA LC map features global_urban_areas EPSG:4326 CRS:84 -178.116668701172 178.544448852539 -54.8361129760742 76.5638961791992 irena:global_water_bodies Global water bodies Derived from ESA LC map features global_water_bodies EPSG:4326 CRS:84 -179.997222900391 179.997222900391 -84.8611145019531 83.625 irena:global_wind_suitability Global utility-scale wind suitability map The map indicates potential suitable areas for utility-scale wind power applications. These areas were estimated using IRENA's suitability analysis methodology, which utilises wind resource maps, topography features, proximity to transmission line and road networks, and proximity to population centres and environmentally sensitive areas. suitability wind global EPSG:4326 CRS:84 -179.990290025 179.99615202700002 -88.99034463100001 83.62371748 vaisala:global_windspeed_80m Global annual average wind speed at 80 m height The VAISALA Global Wind Dataset was created using a combination of statistical methods and physics-based numerical weather prediction models, to create realistic wind fields by simulating the interaction between the entire atmosphere and the Earth’s surface. wind speed 80 m height global EPSG:4326 CRS:84 -180.0 180.0 -90.0 83.62359619137919 image/png esa:goce_bouguer_anomaly Bouguer gravity anomaly The Bouguer anomaly distinguishes thick from thin crust. When the hot mantle is shallower, the thermal gradients are higher (thin crust), increasing the viability of geothermal exploitation. The Bouguer anomaly is obtained by removing the effect of elevated regions and of oceanic water from the gravity disturbance. GOCE Bouguer anomaly geothermal global EPSG:4326 CRS:84 -179.875 179.875 -89.875 89.875 esa:goce_free_air_gravity_disturbance Free air gravity anomaly Derived by averaging different observations from the European Space Agency's (ESA) satellite GOCE. Gravity disturbance field is obtained by subtracting the field of an ellipsoidal homogeneous Earth model with the mass of the real Earth. This field reflects mostly superficial density variations in the Earth’s crust. GOCE free air anomaly geothermal global EPSG:4326 CRS:84 -179.875 179.875 -89.875 89.875 text/html ihfc:heatflow_2015_raster Global heat flow raster The global heat flow raster has been developed by the Royal Melbourne Institute of Technology (RMIT) from the heat flow data points maintained by the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). heat flow geothermal global EPSG:4326 CRS:84 -181.238834 180.54911800000002 -77.437734 83.57073400000002 text/html meteotest:jan_dhi_meteotest Global January average diffuse horizontal irradiation EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jan_dni_meteotest Global January average direct normal irradiation jan_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jan_ghi_meteotest Global January average global horizontal irradiation jan_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jul_dhi_meteotest Global July average diffuse horizontal irradiation jul_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jul_dni_meteotest Global July average direct normal irradiation jul_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jul_ghi_meteotest Global July average global horizontal irradiation jul_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jun_dhi_meteotest Global June average diffuse horizontal irradiation jun_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jun_dni_meteotest Global June average direct normal irradiation jun_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:jun_ghi_meteotest Global June average global horizontal irradiation jun_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 kigam:korea_temp_at_1km_depth Republic of Korea – temperature at 1 km depth This layer is developed by Korea's Institute of Geoscience and Mineral Resources (KIGAM). It displays the temperature at 1 km depth across the Republic of Korea, indicating probable areas for enhanced geothermal systems (EGS). temperature 1 km depth geothermal Republic of Korea EPSG:4326 CRS:84 125.92912557034217 129.60280867757143 34.27283222084399 38.61655708416447 kigam:korea_temp_at_2km_depth Republic of Korea – temperature at 2 km depth This layer is developed by Korea's Institute of Geoscience and Mineral Resources (KIGAM). It displays the temperature at 2 km depth across the Republic of Korea, indicating probable areas for enhanced geothermal systems (EGS). temperature 1 km depth geothermal Republic of Korea EPSG:4326 CRS:84 125.92912557034217 129.60280867757143 34.27283222084399 38.61655708416447 kigam:korea_temp_at_3km_depth Republic of Korea – temperature at 3 km depth This layer is developed by Korea's Institute of Geoscience and Mineral Resources (KIGAM). It displays the temperature at 3 km depth across the Republic of Korea, indicating probable areas for enhanced geothermal systems (EGS). temperature 3 km depth geothermal Republic of Korea EPSG:4326 CRS:84 125.92912557034217 129.60280867757143 34.27283222084399 38.61655708416447 kigam:korea_temp_at_4km_depth Republic of Korea – temperature at 4 km depth This layer is developed by Korea's Institute of Geoscience and Mineral Resources (KIGAM). It displays the temperature at 4 km depth across the Republic of Korea, indicating probable areas for enhanced geothermal systems (EGS). temperature 4 km depth geothermal Republic of Korea EPSG:4326 CRS:84 125.92912557034217 129.60280867757143 34.27283222084399 38.61655708416447 kigam:korea_temp_at_5km_depth Republic of Korea – temperature at 5 km depth This layer is developed by Korea's Institute of Geoscience and Mineral Resources (KIGAM). It displays the temperature at 5 km depth across the Republic of Korea, indicating probable areas for enhanced geothermal systems (EGS). temperature 5 km depth geothermal Republic of Korea EPSG:4326 CRS:84 125.92912557034217 129.60280867757143 34.27283222084399 38.61655708416447 ornl:landscan-global-2020 Global Population Database 2020 The ORNL’s LandScan™ is developed using best available demographic and geographic data, remote sensing imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ornl:landscan-global-2021 Global Population Database 2021 The ORNL’s LandScan™ is developed using best available demographic and geographic data, remote sensing imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. landscan-global-2021 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ornl:landscan-global-2022 Global Population Database 2022 The ORNL’s LandScan™ is developed using best available demographic and geographic data, remote sensing imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. landscan-global-2022 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 179.99999999999858 -90.0 89.99999999999929 ornl:landscan-global-2023 Global Population Database 2023 The ORNL’s LandScan™ is developed using best available demographic and geographic data, remote sensing imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. landscan-global-2023 WCS GeoTIFF EPSG:4326 CRS:84 -180.0 179.99999998559997 -89.99999999280098 89.999999999999 ornl:lspop2018 Global population database The ORNL’s LandScan™ is developed using best available demographic and geographic data, remote sensing imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. global population land cover EPSG:4326 CRS:84 -180.0 179.99999999999858 -90.0 89.99999999999929 meteotest:mar_dhi_meteotest Global March average diffuse horizontal irradiation mar_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:mar_dni_meteotest Global March average direct normal irradiation mar_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:mar_ghi_meteotest Global March average global horizontal irradiation mar_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 irena:mauritania_solar_suitability Mauritania – utility scale solar PV suitability map The map indicates suitable areas for deploying utility-scale solar photovoltaic. The criteria used to identify these areas includes solar resource data, topography features, proximity to transmission line and road networks, and proximity to population centres and environmentally sensitive areas. mauritania_solar_suitability WCS GeoTIFF EPSG:4326 CRS:84 -17.602202911935894 -4.644174727970183 14.720472598610437 27.292445538753334 irena:mauritania_wind_suitability Mauritania – utility scale wind suitability map The map indicates suitable areas for deploying utility-scale wind projects. The criteria used to identify these areas includes wind resource data, topography features, proximity to transmission line and road networks, and proximity to population centres and environmentally sensitive areas. mauritania_wind_suitability WCS GeoTIFF EPSG:4326 CRS:84 -17.602202911935894 -4.644174727970183 14.720472598610437 27.292445538753334 irena:maxwindspeeds Max wind speeds features maxwindspeeds EPSG:4326 CRS:84 -179.85185 180.0 -58.31378999999999 81.3582 meteotest:may_dhi_meteotest Global May average diffuse horizontal irradiation may_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:may_dni_meteotest Global May average direct normal irradiation may_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:may_ghi_meteotest Global May average global horizontal irradiation may_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:nov_dhi_meteotest Global November average diffuse horizontal irradiation nov_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:nov_dni_meteotest Global November average direct normal irradiation nov_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:nov_ghi_meteotest Global November average global horizontal irradiation nov_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:oct_dhi_meteotest Global October average diffuse horizontal irradiation oct_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:oct_dni_meteotest Global October average direct normal irradiation oct_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:oct_ghi_meteotest Global October average global horizontal irradiation oct_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 osm:railway-network Global railway network The OpenStreetMap Foundation is an international not-for-profit organization. It provides geospatial data that are validated using high resolution aerial images using google satellite maps. features railway-network EPSG:4326 CRS:84 -170.6912049 179.598892 -54.83595919999999 78.6701832 meteotest:sep_dhi_meteotest Global September average diffuse horizontal irradiation sep_dhi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:sep_dni_meteotest Global September average direct normal irradiation sep_dni_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 meteotest:sep_ghi_meteotest Global September average global horizontal irradiation sep_ghi_meteotest WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -66.0 66.0 irena:timeseries_solar_attributes solar PV generation profiles - attributes features view_solar_attributes EPSG:3857 CRS:84 -23.59950446999997 47.637344410000026 -33.22165208999999 35.83269602999998 irena:timeseries_wind_attributes wind generation profiles - attributes view_wind_attributes features EPSG:3857 CRS:84 -25.290278579999967 47.38575845 -33.55925615 37.296283929999966 idae:total_potencial_high_temperature Spain – total geothermal energy (HT) This layer shows potential areas for high temperature (HT) geothermal systems greater than 150°C in the Canary Islands. The map highlights several areas and estimates the accessible potential for each area in GWh. high temperature potential geothermal Spain EPSG:4326 CRS:84 -17.8882293701172 -13.7506628036499 28.0271892547607 29.0009021759033 idae:total_potencial_low_temperature Spain – total geothermal energy (LT) This layer shows potential areas for low temperature (LT) geothermal systems with temperatures less than 100°C. The map highlights several areas and estimates the total potential for each area in GWh. low temperature potential geothermal Spain EPSG:4326 CRS:84 -8.79959583282471 3.14302349090576 36.028938293457 43.4248428344727 idae:total_potencial_medium_temperature Spain – total geothermal energy (MT) This layer shows potential areas for medium temperature (MT) geothermal systems between 100 - 150°C. The map highlights several areas and estimates the total potential for each area in GWh. medium temperature potential geothermal Spain EPSG:4326 CRS:84 -15.5305871963501 2.70898199081421 27.784143447876 43.4005966186523 idae:total_potencial_stimulated_systems Spain – total EGS potential This layer shows potential areas for the total enhanced geothermal systems (EGS). The map highlights several areas with significant potential in GWh. total potential geothermal Spain EPSG:4326 CRS:84 -8.75721836090088 2.82886552810669 36.9963912963867 43.1276473999023 idae:total_potencial_very_low_temperature_in_exploitable_aquifers Spain – total shallow geothermal energy (aquifers) This layer shows total potential areas for shallow ground geothermal systems with temperatures less than 100°C. The map highlights several areas and estimates the total ground water aquifer potential for each area in GWh. low temperature potential aquifers geothermal Spain EPSG:4326 CRS:84 -8.86303997039795 4.32915544509888 36.1402931213379 43.6615371704102 idae:total_potencial_very_low_temperature_in_subsoil_rocks Spain – total shallow geothermal energy (subsoil) This layer shows total potential areas for shallow ground geothermal systems with temperatures less than 100°C. The map highlights several areas and estimates the total subsoil potential for each area in GWh. low temperature potential subsoil geothermal Spain EPSG:4326 CRS:84 -18.1607284545898 4.32737064361572 27.6380214691162 43.790283203125 ku:uaewindmap_moswindspeed_100m_01 UAE – January average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_02 UAE – February average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_03 UAE – March average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_04 UAE – April average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_05 UAE – May average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_06 UAE – June average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_07 UAE – July average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_08 UAE – August average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_09 UAE – September average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_10 UAE – October average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_11 UAE – November average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_12 UAE – December average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_100m_Annual UAE – annual average wind speed at 100 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 100 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_01 UAE – January average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_02 UAE – February average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_03 UAE – March average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_04 UAE – April average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_05 UAE – May average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_06 UAE – June average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_07 UAE – July average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_08 UAE – August average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_09 UAE – September average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_10 UAE – October average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_11 UAE – November average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_12 UAE – December average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_120m_Annual UAE – annual average wind speed at 120 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 120 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_01 UAE – January average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_02 UAE – February average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_03 UAE – March average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_04 UAE – April average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_05 UAE – May average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_06 UAE – June average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_07 UAE – July average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_08 UAE – August average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_09 UAE – September average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_10 UAE – October average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_11 UAE – November average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_12 UAE – December average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_50m_Annual UAE – annual average wind speed at 50 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 50 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_01 UAE – January average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_02 UAE – February average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_03 UAE – March average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_04 UAE – April average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_05 UAE – May average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_06 UAE – June average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_07 UAE – July average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_08 UAE – August average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_09 UAE – September average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_10 UAE – October average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_11 UAE – November average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_12 UAE – December average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 ku:uaewindmap_moswindspeed_80m_Annual UAE – annual average wind speed at 80 m height The UAE wind atlas developed by a collaboration between Masdar Institute, Khalifa University, Abu-Dhabi, and 3TIER. The Atlas results from a statistical combination of a spatial and a temporal dataset from 10 measurement stations spread over the UAE. wind speed 80 m height UAE Middle East EPSG:4326 CRS:84 50.679298422532156 56.59772920538671 22.603628513868898 26.454332523513585 vaisala:vaisala_global_solar_annual_GHI Global annual average global horizontal irradiation VAISALA's global solar dataset is derived from half-hourly, high-resolution visible satellite imagery observations at a 2 arc minute resolution. VAISALA processed this information using a combination of in-house research and algorithms published in peer-reviewed scientific literature. global irradiation solar global EPSG:4326 CRS:84 -180.0 180.0 -90.00000000000004 83.6236