[unknown data provider]

Web Map Service - GeoWebCache

https://irena.masdar.ac.ae/geoserver/gwc/service/wms

Service health Now:

Interface

Web Service, OGC Web Map Service 1.1.1

Keywords

Fees

unknown

Access constraints

unknown

Data provider

unknown (unverified)

Contact information:

Ads by Google

Available map layers (309)

Total Potential Low Temperature Spain (spain:total_potential_low_temperature)

This layer shows potential areas for low temperature geothermal systems with temperatures less than 100 degrees Celsius. The map highlights several areas and estimates the total potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

crop_zones (tanzania:crop_zones)

Intermediate Map Wind Off-Grid 100Km 2013 (ecowas_demo:intermediate_wind_offgrid_100km)

Intermediate Map Off-Grid 100Km 2013 for Wind opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 100 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Pohnpei_GHI_Sep (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Sep)

The North Pacific ACP (African, Caribbean and Pacific) Renewable Energy and Energy Efficiency Project (North-REP) is a unique project aimed at developing the energy sectors of the Federated States of Micronesia, The Republic of the Marshall Islands and Palau. These three SPC members have pooled the combined € 14,4 million from European Development Fund 10 resources and entrusted SPC to manage the project. This highlights the special partnership between a provider of technical assistance and services and its recipient member countries and territories. It also highlights the collaboration and vision in working together for the betterment of livelihoods in the north Pacific region. http://www.spc.int/edd/fr/section-01/energy-overview/energy/77-north-pacific-acp-renewable-energy-and-energy-efficiency-project-north-rep Copyright: SolarGIS © 2013 GeoModel Solar.

Average Solar GHI June in Peru (peru:peru_solar_june)

Average daily solar maps incident to monthly and annual level for the period 1975-1990 are shown, using 500 national letter prepared at a scale of 1: 100 000. The irradiation data were obtained from data processing of heliophany and temperatures and a database of sunlight, in total 197 records used stations nationwide. Angstrom Model was used - Prescott (for heliophany data) and Model Bristow- Campbell (for temperature data) plus interpolation and simulation models.

South_Pacific_Communities_Pohnpei_Elevation (south_pacific_com:South_Pacific_Communities_Pohnpei_Elevation)

World Database on Protected Areas World polygon UNEP 2012 (IUCN:WDPA_polygon)

The World Database on Protected Areas (WDPA) is the most comprehensive spatial dataset on the world's marine and terrestrial protected areas, produced through a joint initiative of the International Union for the Conservation of Nature (IUCN) and the United National Environment Programme (UNEP). The WDPA contains the UN List of protected areas (official national data) as well as authoritative information sourced by non-governmental organizations, academic institutions, international convention secretariats and many others. The WDPA is used for reporting on global indicators and trends, ecological gap analysis, environmental impact analysis and is increasingly used for private sector decision-making. The WDPA is hosted and managed at the UNEP World Conservation Monitoring Centre.

Uruguay Daily Average GHI May (uruguay:Uruguay_ghi_may)

The second version of Uruguay's Solar Map provides annual and monthly averages of daily global irradiation at an horizontal surface. A statistical satellite based model is used to obtain hourly solar irradiation from GOES-East's visible channel imagery. This hourly information is used to compute the monthly and annual averages using a 14 years' local database of satellite images. The coeficients of the statistical model are tunned using the data from the National Solar Measurements' Network administrated by the National Public University's Solar Energy Laboratory (LES/UdelaR, Uruguay). The network is equipped with first class field pyranometers according to ISO 9060:1990 (Kipp & Zonen CMP6 or higher quality). Pyranometers are regularly calibrated against a secondary standard Kipp & Zonen CMP22 that the Solar Energy Laboratory keeps calibrated against the primary standard in the World Radiation Center in Davos, Switzerland. For more information check the website: http://les.edu.uy. Resume of the metadata: Name: Uruguay's Solar Map Version 2.0. Component: Solar Global irradiation at an horizontal plane. Temporal resolution: annual and monthly averages of daily irradiation in kWh/m2. Spatial resolution: about 1 km. Origin: satellite irradiation data based on GOES-East imagery. Satellite Statistic: GOES-East images from 01/01/2000 to 31/13/2013. Credits: Laboratorio de EnergÃa Solar, Universidad de la RepÃºblica, Uruguay (http://les.edu.uy). Citation and methodology: ALONSO SUÃREZ, R.; ABAL, G.; SIRI, R.; MUSÃ‰, P. Brightness-dependent Tarpley model for global solar radiation estimation using GOES satellite images: application to Uruguay. Solar Energy 86, pag. 3205-3215, 2012.

Israel Annual Average DNI 2008 (israel:dni_9_stations_Israel)

This dataset contains the annual average Solar Radiation (DNI) from 9 stations in Israel. A 20-year database of meteorological measurements from the Negev sites: Arad, Beersheba, Besor Farm, Eilat, Hatzeva, Mitzpe Ramon, Sede Boqer, Sedom and Yotvata was employed to synthesize a set of updated Typical Meteorological Year data files (TMY v.5) based on the direct beam component, and the archived hourly data. Report on the Solar Radiation Maps of the Negev: http://irena.masdar.ac.ae/docs/Israel_solar_radiation_maps_of_the_Negev.pdf Report on the Data Processing for the Negev Radiation Survey: Part III – Typical Meteorological Year (TMY), Version 5: http://irena.masdar.ac.ae/docs/Israel_data_processing_for_the_Negev_radiation_survey.pdf

Global Power Generators OpenStreetMap 2015 (irena:osm_global_power_generators)

This map shows the power generators for the whole world. The power lines have been reviewed for positional accuracy using google satellite maps. Most of the lines checked on the map, seem to correspond with the actual location lines as confirmed by high resolution aerial images from google satellite maps. Limitations on the dataset include incompleteness in certain areas, and less information on the voltage capacity of some of the lines. This dataset was extracted from the OpenStreetMap initiative. OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). © OpenStreetMap contributors http://www.openstreetmap.org/copyright

Length of Growing Period Stations (tanzania:length_growing_period_stations)

Average Solar GHI August in Peru (peru:peru_solar_august)

Wind off-Grid 50km 2013 (ecowas_demo:wind_descent_50_wgs84)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 50 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Global Geothermal Surface Heat Flow IHFC 2015 (irena:heatflow_2015_raster)

The Global heat flow data are maintained by the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). The new global compilation covers over 50,000 heat flow data points. The contour lines and a raster have been developed from this data with help from the Royal Melbourne Institute of Technology (RMIT) in Melbourne, Australia. Original website http://www.ihfc-iugg.org/products/global-heat-flow-database

solar_off-grid_75000_planned_grid (ecowas:solar_off-grid_75000_planned_grid)

Kuwait Monthly Average GHI 2012-2013 (kuwait:Kuwait_ghi)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for solar irradiation. Measurements cover the period Sept. 2012 - Aug. 2013

SPAN Extended Exploration Areas (kenya:SPAN_Extended_Exploration_Areas)

The Dewhurst Group used its SPAN (Spectral Space Analysis) technique as part of a “fairway play” geothermal exploration analysis of previously unexplored areas of Kenya. The analysis takes into account data from: - Publicly available and proprietary aeromagnetic and gravity data. - Regional Geology. - Mineral concentrations from existing publicly available geochemical data. - Geological model comparisons from previously unpublished but completed geothermal SPAN exploration efforts. The geothermal areas identified here are based exclusively on these SPAN results and are expected, in certain regions, to show a high probability of having temperatures of up to 400°C at a depth of 4km to 5km and a sizable regional reservoir at depths of 2km to 6km. The priority areas are also expected to contain deep, 10km or deeper, fluid connections to magma and mantel zones. These are important characteristics for any successful geothermal power development. The Dewhurst Group is currently undertaking similar geothermal exploration efforts in Uganda, Rwanda, Ethiopia and Djibouti. Detailed SPAN analysis information from Kenya, including magnetic and gravity profiles is available at www. SPANgeoKenya.com or for more information please contact the Dewhurst Group at information@dewhurstgroup.us.

Intermediate Map Grid Connected 100Km 2013 (ecowas_demo:intermediate_pv_grid_100km)

Intermediate Map Grid Connected 100Km 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 100 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Yap_DNI_Nov (south_pacific_com:South_Pacific_Communities_Yap_DNI_Nov)

Kuwait Maximum Monthly Temperature 2012-2013 (kuwait:Kuwait_max_monthly_temp)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for temperature. Measurements cover the period Sept. 2012 - Aug. 2013.

Available Potential Low Temperature Spain (spain:available_potential_low_temperature)

This layer shows potential areas for low temperature geothermal systems with temperatures less than 100 degrees Celsius. The map highlights several areas and estimates the available potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

GlobCover land cover map world ESA 2009 (irena:GLOBCOVER_L4_200901_200912_V2.3)

The European Space Agency's ESA GlobeCover is a global land cover map that has been produced in an automatic and global way and is associated with a legend defined and documented using the UN Land Cover Classification System (LCCS). The GlobCover 2009 land cover map is delivered as one global land cover map covering the entire Earth. Its legend, which counts 22 land cover classes, has been designed to be consistent at the global scale and therefore, it is determined by the level of information that is available and that makes sense at this scale.

Meteorological Stations (tanzania:meteorological_stations)

Mozambique - Land availability map of 2010 in BAU scenario (mozambique_bioenergy:Blandavailable2010)

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 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 by allocating land to a land use class based on the suitability for the specific land use classes. Areas that are not suitable (such as steep slopes) or not allowed (such as conservation areas) to be converted to agricultural land, were excluded. Based on the allocation of land use classes and the maps of excluded areas for bioenergy production (such as forest areas), the land availability for bioenergy crops is determined. Reference van der Hilst et al, 2012 and Verstegen et al 2012 Contacts Dr. F. van der Hilst, Copernicus Institute of Sustainable Development, Utrecht University, Section Energy & Resources.

Mozambique - Land use map of 2020 in BAU scenario (mozambique_bioenergy:BlandUse2020)

thermal_spring (chile_geothermal:thermal_spring)

Volcanic craters in Turkey (turkey:turkey_craters)

This layer shows the location of major volcanic craters in Turkey. Website: http://www.atag.itu.edu.tr/v3/?p=135

Geothermal Temperature at 5000m Ireland SEAI (ireland:GeothermalCalculated5000m)

This study was performed by the CSA Group in cooperation with Conodate Geology, Cork Institute of Technology and the Geological Survey of Ireland. The study surveyed/compiled data on warm springs and groundwater temperature trends. In order to map the subsurface temperatures, all available borehole data in the Republic of Ireland were gathered. Temperature data from 19 mineral and oil exploration holes ranging in depth from 300m to 2,500m (deepest borehole Drumkeeran (No. 1), Co Leitrim) were retrieved from previously monitored boreholes. In addition to this, CSA surveyed 32 existing, open boreholes to obtain their temperature profiles. This survey examined holes ranging in depth from 40m – 810m (deepest borehole 01-541-03, Co. Galway). A preliminary review of data from Northern Ireland was also included. All survey data were added to the existing temperature data compiled for earlier studies. These data are presented in the Final Report which can be accessed via the below website link. Geothermal maps have been produced for surface, 100m, 500m, 1,000m, 2,500m and 5,000m depths. For further information please visit: http://www.seai.ie/Grants/Renewable_Energy_RD_D/Projects_funded_to_date/Geothermal_Energy/

South_Pacific_Communities_kosrae_GHI_Feb (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Feb)

South_Pacific_Communities_Pohnpei_DNI_Feb (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Feb)

Global power lines, sub stations and generators OpenStreetMap 2016 (irena:osm_global_power_network_2016)

This map shows the power lines, substations and power generators for the whole world. The power lines have been reviewed for positional accuracy using google satellite maps. Most of the lines checked on the map, seem to correspond with the actual location lines as confirmed by high resolution aerial images from google satellite maps. Limitations on the dataset include incompleteness in certain areas, and less information on the voltage capacity of some of the lines. This dataset was extracted from the OpenStreetMap initiative. OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). © OpenStreetMap contributors http://www.openstreetmap.org/copyright

Solar PV Grid Connected 75km 2013 (ecowas_demo:pv_cent_75)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 75 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_kosrae_DNI_Nov (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Nov)

South_Pacific_Communities_Yap_GHI_Sep (south_pacific_com:South_Pacific_Communities_Yap_GHI_Sep)

South_Pacific_Communities_Chuuk_Elevation (south_pacific_com:South_Pacific_Communities_Chuuk_Elevation)

Solar PV off-Grid 100km 2013 (ecowas_demo:pv_descent_100)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 100 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_kosrae_GHI_Dec (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Dec)

South_Pacific_Communities_Chuuk_DNI_Nov (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Nov)

active_volcanoes (chile_geothermal:active_volcanoes)

South_Pacific_Communities_Pohnpei_DNI_Jan (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Jan)

Intermediate Map Grid Connected 50Km 2013 (ecowas_demo:intermediate_pv_grid_50km)

Intermediate Map Grid Connected 50Km 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 50 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Uruguay Daily Average GHI July (uruguay:Uruguay_ghi_july)

Total Potential Medium Temperature Spain (spain:total_potential_medium_temperature)

This layer shows potential areas for medium temperature geothermal systems with temperatures between 100 and 150 degrees Celsius. The map highlights several areas and estimates the total potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

Sudan Measuring Stations (sudan:sudan_measuring_stations)

This dataset shows measuring stations and gives access to the data from two WMO meteorological stations, DONGOLA and NYALA: DONGOLA meteorological station. The measurement mast is located at 19.17N, 30.48E, 226m (elevation). Monthly average wind speeds (m/s) at 10m height and 3 hourly Wind speeds and direction (in knots) from 2001-2010. NYALA meteorological station. The measurement mast is located at 12.00N, 24.80E, 675m (elevation). Monthly average wind speeds from 2001-2010 (m/s). The WMO network comprises over 13400 measurement stations all over the world. The data from these stations was supplied to IRENA by the Sudan Meteorological Authority. The monthly averages were initially presented in knots (nautical mile per hour). The values were subsequently converted to meters per second (m/s) using (1kn = 0.514444mps).

Accessible Potential Stimulated Systems Spain (spain:accessible_potential_stimulated_systems)

This layer shows potential areas for stimulated geothermal systems (otherwise called enhanced geothermal systems - EGS). The map highlights several areas and estimates the accessible potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 168). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

South_Pacific_Communities_Pohnpei_DNI_Apr (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Apr)

Solar Global Radiation World 8km Meteotest (meteotest:meteotest_ghi_year_kwh_landcrop)

Global radiation (GHI) worldwide (kWh/m2) with 8 km resolution; Source: www.meteonorm.com; Copyright: Meteotest, Switzerland. The maps may be used freely for personal use. If a map is published in print, the following text must be included below the map: © METEOTEST; based on www.meteonorm.com

South_Pacific_Communities_kosrae_Slope (south_pacific_com:South_Pacific_Communities_kosrae_Slope)

South_Pacific_Communities_Yap_GHI_Nov (south_pacific_com:South_Pacific_Communities_Yap_GHI_Nov)

South_Pacific_Communities_Yap_GHI_Dec (south_pacific_com:South_Pacific_Communities_Yap_GHI_Dec)

Mean Power Density South Africa West Cape 250m WASA May 2013 (southAfrica:WC_250m_PD_2013_130)

Mean power density P [Wm−2] @ 100 m above ground level for West Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

LGP Stations with two Growing Seasons (tanzania:LGP_stations_with_two_growing_seasons)

South_Pacific_Communities_Yap_GHI_Feb (south_pacific_com:South_Pacific_Communities_Yap_GHI_Feb)

Mean wind speed South Africa North Cape 250m WASA May 2013 (southAfrica:NC_250m_U)

Mean wind speed U [ms−1] @ 100 m above ground level for North Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_Yap_GHI_Jul (south_pacific_com:South_Pacific_Communities_Yap_GHI_Jul)

Uruguay Daily Average GHI August (uruguay:Uruguay_ghi_august)

Available Potential Stimulated Systems Spain (spain:available_potential_stimulated_systems)

This layer shows potential areas for stimulated geothermal systems (otherwise called enhanced geothermal systems - EGS). The map highlights several areas and estimates the available potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 168). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

Mozambique - Land availability map of 2030 in BAU scenario (mozambique_bioenergy:Blandavailable2030)

Mozambique - Land use map of 2020 in progressive scenario (mozambique_bioenergy:PlandUse2020)

Geothermal Temperature at 2500m Ireland SEAI (ireland:GeothermalCalculated2500m)

South_Pacific_Communities_Yap_DNI_Feb (south_pacific_com:South_Pacific_Communities_Yap_DNI_Feb)

Global power lines OpenStreetMap 2015 extract (irena:osm_global_power_lines)

This map shows the power lines for the whole world. The power lines have been reviewed for positional accuracy using google satellite maps. Most of the lines checked on the map, seem to correspond with the actual location lines as confirmed by high resolution aerial images from google satellite maps. Limitations on the dataset include incompleteness in certain areas, and less information on the voltage capacity of some of the lines. This dataset was extracted from the OpenStreetMap initiative. OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). © OpenStreetMap contributors http://www.openstreetmap.org/copyright

Average Solar GHI March in Peru (peru:peru_solar_march)

Intermediate Map Off-Grid 100Km 2013 (ecowas_demo:intermediate_pv_offgrid_100km)

Intermediate Map Off-Grid 100Km 2013 for Solar PV opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 100 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Wind Grid Connected 50km 2013 (ecowas_demo:wind_cent_50_wgs84)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 50 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Chuuk_GHI_Feb (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Feb)

Geothermal Temperature at 10m Ireland SEAI (ireland:GeothermalCalculated10m)

South_Pacific_Communities_Chuuk_GHI_Jul (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Jul)

Geothermal Temperature at 500m Ireland SEAI (ireland:GeothermalCalculated500m)

Mongolia Wind Speed Measurements 2012 (mongolia:wind_mongolia_2012)

Location of the wind measurement stations in Mongolia with measurements of the wind speed. The full record covers the period from 2002 to 2012. The data record available through the Global Atlas is an extract which covers the year of 2012. The data was supplied by the Ministry of Energy of Mongolia.

Mongolia Solar Radiation Measurements GHI DNI DHI 2012 (mongolia:solar_mongolia_2012)

Location of the solar measurement stations in Mongolia with measurements of the Direct, Diffuse and Global radiation components. The full record covers the period from 2004 to 2012. The data record available through the Global Atlas is an extract which covers the year of 2012. The data was supplied by the Ministry of Energy of Mongolia.

Alliance for Zero Extinction sites world point AZE 2010 (AZE:AZEpoly_2010_16March2012_allData)

This dataset shows the Alliance for Zero Extinction (AZE) 2010 sites

South_Pacific_Communities_Pohnpei_GHI_May (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_May)

Kuwait Monthly Average Temperature 2012-2013 (kuwait:Kuwait_average_monthly_temp)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for temperature. Measurements cover the period Sept. 2012 - Aug. 2013.

Intermediate Map Wind Off-Grid 75Km 2013 (ecowas_demo:intermediate_wind_offgrid_75km)

Intermediate Map Off-Grid 75Km 2013 for Wind opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 75 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Korea – Temperature at 2 km depth for enhanced geothermal systems by KIGAM (korea_geothermal:korea_temp_at_2km_depth)

These layers show the temperature at depths (1 – 5km) across Korea indicating several areas in the country that could be probable for enhanced geothermal systems (EGS). The layers are a result of a study conducted in 2010 by Yoonho Song et al., of the Korean Institute for Geosciences and Mineral Resources. Access the full report (in Korean) for more: http://tinyurl.com/zfuwvve

Existing Geothermal Power Plants 209MW Olkaria developments (kenya:Existing_Geothermal_Power_Plants_209_MW_Olkaria_developments)

South_Pacific_Communities_Pohnpei_DNI_Jul (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Jul)

roads (tanzania:roads)

South_Pacific_Communities_Pohnpei_DNI_Dec (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Dec)

South_Pacific_Communities_Yap_Elevation (south_pacific_com:South_Pacific_Communities_Yap_Elevation)

South_Pacific_Communities_kosrae_GHI_Jul (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Jul)

Intermediate Map Wind WindSpeed 2013 (ecowas_demo:intermediate_wind_windspeed)

Intermediate Map Wind Speed 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Yap_GHI_Apr (south_pacific_com:South_Pacific_Communities_Yap_GHI_Apr)

South_Pacific_Communities_Pohnpei_GHI_Feb (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Feb)

Average Solar GHI November in Peru (peru:peru_solar_november)

Site RIX value South Africa West Cape 250m WASA May 2013 (southAfrica:WC_250m_RIX)

Site RIX value calculated by WAsP (standard parameter setup) for West Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

VAISALA Global Wind Dataset 5km onshore wind speed at 80m height units in m/s (_3tier:Wind_Speed_Global_5km_80m_3TIER)

VAISALA Global Wind Dataset 5km onshore wind speed at 80m height units in m/s. VAISALA Global Wind Dataset provides average annual wind speed at 80 meters above ground. Average values are based on over 10 years of hourly data created through advanced computer model simulations. VAISALA created this dataset using a combination of statistical methods and physics-based numerical weather prediction models, which create realistic wind fields throughout the world by simulating the interaction between the entire atmosphere and the Earth’s surface. The wind speed dataset validated well when compared with more than 4000 NCEP-ADP networks stations (validation paper available here: http://www.vaisala.com/en/energy/Documents/WEA-ERG-3TIER-Global%20Wind%20Dataset.pdf). The information provided in the Global Atlas is meant to inform high-level policy debate (identification of opportunity areas for further prospection, preliminary assessment of technical potentials), or to perform market screening (cross referencing the resource information with policy information). It is suitable for decision-making activities, excluding financial commitments. It is a subset of a more detailed, long-term dataset, which includes additional hourly wind information such as wind direction, power density, and wind distribution. VAISALA can provide this information as well as information at higher spatial and temporal resolutions in addition to other customized energy services to facilitate project-specific or regional development, financial planning, and energy trading and scheduling. By using this dataset, the user accepts VAISALA Terms and Conditions shown here: http://globalatlas.irena.org/VAISALA-terms-conditions.aspx Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3032. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_Pohnpei_GHI_Jul (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Jul)

Intermediate Map Wind Grid Connected 150Km (ecowas_demo:intermediate_wind_grid_150km)

Intermediate Map Grid Connected 150Km 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 150 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Intermediate Map GHI 2013 (ecowas_demo:intermediate_pv_ghi)

Intermediate Map GHI 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Uruguay Daily Average GHI Annual (uruguay:Uruguay_ghi_annual)

Intermediate Map Off-Grid 50Km 2013 (ecowas_demo:intermediate_pv_offgrid_50km)

Intermediate Map Off-Grid 50Km 2013 for Solar PV opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 50 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Uruguay Daily Average GHI November (uruguay:Uruguay_ghi_november)

Wind Turbines Belgium Economie (belgium:wind_turbines)

This dataset shows existing wind turbines in windmills at Belgium sea. More information can be obtained through this link: http://www.mumm.ac.be/EN/Management/Sea-based/windmills_docs.php

Mean Power Density South Africa East Cape 250m WASA May 2013 (southAfrica:EC_250m_PD_2013_130)

Mean power density P [Wm−2] @ 100 m above ground level for East Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Mozambique - Land use map of 2030 in BAU scenario (mozambique_bioenergy:BlandUse2030)

Wind Grid Connected 100km 2013 (ecowas_demo:wind_cent_100_wgs84)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 100 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Average Solar GHI April in Peru (peru:peru_solar_april)

Intermediate Map Slope 2013 (ecowas_demo:intermediate_pv_slope)

Intermediate Map Slope 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - Slope below 45% The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Kuwait Monthly Average Wind Speed 2012-2013 (kuwait:Kuwait_average_wind_speed)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for wind speed. Measurements cover the period Sept. 2012 - Aug. 2013.

Elevation South Africa North Cape 250m WASA May 2013 (southAfrica:NC_250m_Elevation)

Elevation of modelling site in [m] above mean sea level for North Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_Yap_DNI_Oct (south_pacific_com:South_Pacific_Communities_Yap_DNI_Oct)

Korea – Temperature at 3 km depth for enhanced geothermal systems by KIGAM (korea_geothermal:korea_temp_at_3km_depth)

VAISALA Global Solar Dataset 3km with units in W/m²/day (_3tier:GHI_Global_3km_3TIER)

VAISALA Global Solar Dataset 3km with units in W/m²/day VAISALA Global Solar Dataset provides average annual GHI at a 3km spatial resolution. Average values are based on more than 10 years of hourly GHI data and derived from actual, half-hourly, high-resolution visible satellite imagery observations via the broadband visible wavelength channel at a 2 arc minute resolution. VAISALA processed this information using on a combination of in-house research and algorithms published in peer-reviewed scientific literature. The dataset validated well when compared with observations from 120 geographically distributed surface stations around the globe (validation paper available here: http://www.vaisala.com/en/energy/Documents/WEA-ERG-3TIER-Global%20Wind%20Dataset.pdf). The information provided in the Global Atlas is meant to inform high-level policy debate (identification of opportunity areas for further prospection, preliminary assessment of technical potentials), or to perform market screening (cross referencing the resource information with policy information). It is suitable for decision-making activities, excluding financial commitments. It is a subset of a more detailed, long-term dataset, which includes hourly values of GHI, DNI, and other weather variables. VAISALA can provide this information and other customized services to facilitate project-specific or regional development, financial planning, and energy scheduling. By using this dataset, the user accepts VAISALA Terms and Conditions shown here: http://globalatlas.irena.org/VAISALA-terms-conditions.aspx Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3033. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_Chuuk_DNI_Feb (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Feb)

South_Pacific_Communities_Chuuk_GHI_Oct (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Oct)

Average Solar GHI September in Peru (peru:peru_solar_september)

South_Pacific_Communities_Chuuk_Slope (south_pacific_com:South_Pacific_Communities_Chuuk_Slope)

South_Pacific_Communities_Chuuk_DNI_Jul (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Jul)

Alberta Geothermal Favourability Dataset (canada:alberta_geothermal_favourability_dataset)

Alberta Geothermal Favourability Map The ‘geothermal favourability rating’ is based on geothermal gradients and ambient temperatures. This rating provides a geothermal assessment based on temperature requirements of current technology, and is consistent with geothermal favourability mapping projects completed by Northwest Territories Environment and Natural Resources. This dataset was developed by: Canadian Geothermal Energy Association P. O. Box 1462 St. M, Calgary, Alberta, T2P 2L6, Canada Phone: (403) 801 6805, info@cangea.ca -‐ www.cangea.ca For the complete report please visit: http://irena.masdar.ac.ae/docs/Geothermal_Favourability_Map_of_Alberta_following_a_Global_Protocol_Methods_and_Data_Sources.pdf

South_Pacific_Communities_kosrae_DNI_May (south_pacific_com:South_Pacific_Communities_kosrae_DNI_May)

South_Pacific_Communities_Chuuk_DNI_Dec (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Dec)

Korea – Temperature at 1 km depth for enhanced geothermal systems by KIGAM (korea_geothermal:korea_temp_at_1km_depth)

Global Population Database World 1km ORNL 2013 (irena:lspop2013)

The LandScan 2013 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

Accessible Potential Low Temperature Spain (spain:accessible_potential_low_temperature)

This layer shows potential areas for low temperature geothermal systems with temperatures less than 100 degrees Celsius. The map highlights several areas and estimates the accessible potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

Mozambique - Land availability map of 2010 in progressive scenario (mozambique_bioenergy:Plandavailable2010)

Global sub stations OpenStreetMap 2016 (irena:osm_global_powerstations_2016)

This map shows the substations for the whole world. The power lines have been reviewed for positional accuracy using google satellite maps. Most of the lines checked on the map, seem to correspond with the actual location lines as confirmed by high resolution aerial images from google satellite maps. Limitations on the dataset include incompleteness in certain areas, and less information on the voltage capacity of some of the lines. This dataset was extracted from the OpenStreetMap initiative. OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). © OpenStreetMap contributors http://www.openstreetmap.org/copyright

Length of Growing Period (tanzania:length_growing_period)

Site RIX value South Africa East Cape 250m WASA May 2013 (southAfrica:EC_250m_RIX)

Site RIX value calculated by WAsP (standard parameter setup) for East Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_Yap_DNI_Jul (south_pacific_com:South_Pacific_Communities_Yap_DNI_Jul)

Mean wind speed South Africa West Cape 250m WASA May 2013 (southAfrica:WC_250m_U)

Mean wind speed U [ms−1] @ 100 m above ground level for West Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_kosrae_GHI_Apr (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Apr)

South_Pacific_Communities_Chuuk_GHI_Dec (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Dec)

Solar PV off-Grid 50km 2013 (ecowas_demo:pv_descent_50)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 50 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_kosrae_DNI_Aug (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Aug)

South_Pacific_Communities_Chuuk_DNI_Sep (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Sep)

South_Pacific_Communities_Chuuk_Aspect (south_pacific_com:South_Pacific_Communities_Chuuk_Aspect)

World Database on Protected Areas World polygon UNEP May 2016 (IUCN:wdpa_poly_may2016)

Official Ramsar Sites Boundaries world polygon Ramsar 2012 (ramsar:Ramsar_Site_Boundaries_Official)

This dataset shows the official Ramsar sites' boundaries in 27-09-2012

South_Pacific_Communities_kosrae_DNI_Jul (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Jul)

South_Pacific_Communities_Yap_DNI_Mar (south_pacific_com:South_Pacific_Communities_Yap_DNI_Mar)

Elevation South Africa East Cape 250m WASA May 2013 (southAfrica:EC_250m_Elevation)

Elevation of modelling site in [m] above mean sea level for East Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_Chuuk_DNI_Oct (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Oct)

thermal_areas (chile_geothermal:thermal_areas)

Global Geothermal Contour Lines Heat Flow IHFC 2015 (irena:heatflow_2015_contours)

South_Pacific_Communities_Chuuk_GHI_Mar (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Mar)

South_Pacific_Communities_Pohnpei_GHI_Oct (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Oct)

South_Pacific_Communities_Yap_DNI_Aug (south_pacific_com:South_Pacific_Communities_Yap_DNI_Aug)

North Sea National Limits Belgium Economie (belgium:Belgium_North_Sea_National_Limits)

This dataset shows the North Sea Limits of Belgium.

Global Population Database World 1km ORNL 2016 (irena:lspop2016)

The LandScan 2016 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

South_Pacific_Communities_Pohnpei_Slope (south_pacific_com:South_Pacific_Communities_Pohnpei_Slope)

South_Pacific_Communities_Chuuk_GHI_Aug (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Aug)

3TIER’s Global Solar Dataset 3km with units in W/m² (training:_3tier_global_ghi)

3TIER’s Global Solar Dataset 3km with units in W/m² 3TIER’s Global Solar Dataset provides average annual GHI at a 3km spatial resolution. Average values are based on more than 10 years of hourly GHI data and derived from actual, half-hourly, high-resolution visible satellite imagery observations via the broadband visible wavelength channel at a 2 arc minute resolution. 3TIER processed this information using on a combination of in-house research and algorithms published in peer-reviewed scientific literature. The dataset validated well when compared with observations from 120 geographically distributed surface stations around the globe (validation paper available here: http://www.3tier.com/static/ttcms/us/documents/publications/validations/3TIER_Global_Solar_Validation.pdf). The information provided in the Global Atlas is meant to inform high-level policy debate (identification of opportunity areas for further prospection, preliminary assessment of technical potentials), or to perform market screening (cross referencing the resource information with policy information). It is suitable for decision-making activities, excluding financial commitments. It is a subset of a more detailed, long-term dataset, which includes hourly values of GHI, DNI, and other weather variables. 3TIER can provide this information and other customized services to facilitate project-specific or regional development, financial planning, and energy scheduling. By using this dataset, the user accepts 3TIER's Terms and Conditions shown here: http://irena.org/globalatlas/demo/3TIER-terms-conditions.aspx.

Intermediate Map Wind Elevation 2013 (ecowas_demo:intermediate_wind_elevation)

Intermediate Map Elevation 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - elevation below 2000m; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Chuuk_DNI_May (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_May)

Swaziland Wind Stations (swaziland:wind_stations)

Wind data provided was collected between May 2001 and April 2002 under the wind measurement project which was part of the Swaziland National Energy Policy Development Project supported by the Danish Co-operation for Environment and Development (DANCED). Tripod Wind Energy Aps oversaw the installation of the wind measuring masts as well as the data analysis and reporting. Mores at http://irena.masdar.ac.ae/docs/Wind_Measurements_in_Swaziland_Final.pdf

Uruguay Daily Average GHI October (uruguay:Uruguay_ghi_october)

Mozambique - Land availability map of 2020 in progressive scenario (mozambique_bioenergy:Plandavailable2020)

Mozambique - Land use map of 2030 in progressive scenario (mozambique_bioenergy:PlandUse2030)

South_Pacific_Communities_Yap_GHI_Oct (south_pacific_com:South_Pacific_Communities_Yap_GHI_Oct)

Global Heatflow database from the International Heat Flow Commission 2011 (irena:global_heatflow)

Global heat flow data are maintained by the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI). A new global compilation consisting of 35,523 continental heat flow points and 23,013 marine points. Last updated January 2011. Original website: http://www.ihfc-iugg.org/products/global-heat-flow-database

South_Pacific_Communities_Yap_Slope (south_pacific_com:South_Pacific_Communities_Yap_Slope)

Geothermal Temperature at 1000m Ireland SEAI (ireland:GeothermalCalculated1000m)

Total Potential Stimulated Systems Spain (spain:total_potential_stimulated_systems)

This layer shows potential areas for stimulated geothermal systems (otherwise called enhanced geothermal systems – EGS). The map highlights several areas with significant potential in GWh. The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 168). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

South_Pacific_Communities_Yap_DNI_Dec (south_pacific_com:South_Pacific_Communities_Yap_DNI_Dec)

Wind Speed at 100m Switzerland 100m Meteotest (meteotest:meteotest_wind_100m_wgs84)

Wind speed (100 m above ground), Switzerland (m/s), 100 m resolution; Source: www.wind-data.ch; Copyright: Meteotest, Switzerland. The maps may be used freely for personal use. If a map is published in print, the following text must be included below the map: © METEOTEST.

Mozambique - Land use map of 2010 in BAU scenario (mozambique_bioenergy:BlandUse2010)

Available Potential High Temperature Spain (spain:available_potential_high_temperature)

This layer shows potential areas for medium temperature geothermal systems with temperatures greater than 150 degrees Celsius. The map highlights several areas and estimates the available potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

South_Pacific_Communities_Yap_GHI_May (south_pacific_com:South_Pacific_Communities_Yap_GHI_May)

Average Solar GHI February in Peru (peru:peru_solar_february)

World Database on Protected Areas World point UNEP Aug 2014 (IUCN:wdpa_point_aug2014)

South_Pacific_Communities_Yap_GHI_Jun (south_pacific_com:South_Pacific_Communities_Yap_GHI_Jun)

Mozambique - Land availability map of 2020 in BAU scenario (mozambique_bioenergy:Blandavailable2020)

global_dl_20140109 (irena:aqueduct_global_dl_20140109)

Kuwait Monthly Average Relative Humidity 2012-2013 (kuwait:Kuwait_relative_humidity)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for humidity. Measurements cover the period Sept. 2012 - Aug. 2013.

Geothermal sites in Turkey (turkey:turkey_geothermal_resources)

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. The layer was produced originally in Turkish language by the Directorate of Mineral Research and Exploration (MTA) in Turkey and subsequently translated by IRENA. http://www.atag.itu.edu.tr/v3/?p=135

Average Solar GHI July in Peru (peru:peru_solar_july)

LGP Pattern (tanzania:LGP_pattern)

South_Pacific_Communities_kosrae_DNI_Oct (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Oct)

Wind off-Grid 100km 2013 (ecowas_demo:wind_descent_100_wgs84)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 100 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Pohnpei_DNI_Aug (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Aug)

Kuwait Monthly Average DNI 2012-2013 (kuwait:Kuwait_dni)

Global Population Database World 1km ORNL 2018 (irena:lspop2018)

The LandScan 2016 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

Solar PV off-Grid 150km 2013 (ecowas_demo:pv_descent_150)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 150 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Intermediate Map Grid Connected 150Km 2013 (ecowas_demo:intermediate_pv_grid_150km)

Intermediate Map Grid Connected 150Km 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 150 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_kosrae_GHI_Nov (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Nov)

South_Pacific_Communities_Yap_DNI_May (south_pacific_com:South_Pacific_Communities_Yap_DNI_May)

South_Pacific_Communities_kosrae_GHI_Jun (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Jun)

South_Pacific_Communities_Pohnpei_GHI_Dec (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Dec)

South_Pacific_Communities_Chuuk_GHI_May (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_May)

Intermediate Map Population 2013 (ecowas_demo:intermediate_pv_population_grid)

Intermediate Map Population 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - a population density below 500 hab/km2; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_kosrae_GHI_Jan (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Jan)

Elevation South Africa West Cape 250m WASA May 2013 (southAfrica:WC_250m_Elevation)

Elevation of modelling site in [m] above mean sea level for West Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Solar PV Grid Connected 100km 2013 (ecowas_demo:pv_cent_100)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 100 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

MSB_IBAsSensitivity20131001 (birdlife:MSB_IBAsSensitivity20131001)

Geothermal Temperature at 100m Ireland SEAI (ireland:GeothermalCalculated100m)

Intermediate Map Wind Grid Connected 100Km 2013 (ecowas_demo:intermediate_wind_grid_100km)

Intermediate Map Grid Connected 100Km 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 100 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Generalized annual mean wind speed at 100m South Africa 5Km RISOE 1980-2009 (southAfrica:SAFSA2050_02_z100.51_U_layer)

This map contains the generalize annual mean wind speed [m/s] at 100 m a.g.l. over the flat terrain and uniform roughness of 0.03 m. The Wind Atlas for South Africa (WASA) Project is an initiative of the South African Dept of Energy (DoE) with the South African National Energy Development Institute (SANEDI) executing, managing WASA and contracting the Implementation Partners: The South African Council for Scientific and Industrial Research (CSIR), University of Cape Town (Climate Systems Analysis Group) (UCT CSAG), South African Weather Services (SAWS) and Department of Wind Energy, Technical University of Denmark (DTU Wind Energy). The main objective of WASA through capacity development and research cooperation is to develop and employ numerical (modelled) wind atlas methods and to develop capacity to enable long term planning of large-scale exploitation of wind power in South Africa, including dedicated wind resource assessment and siting tools for planning purposes, i.e. a Verified with physical wind measurements Numerical (modelled) Wind Atlas and database for South Africa. More information can be found following the link: http://www.wasaproject.info/. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

South_Pacific_Communities_kosrae_DNI_Jan (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Jan)

Global Population Database World 1km ORNL 2012 (irena:lspop2012)

The LandScan 2012 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

South_Pacific_Communities_Pohnpei_DNI_May (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_May)

Uruguay Daily Average GHI December (uruguay:Uruguay_ghi_december)

South_Pacific_Communities_Pohnpei_DNI_Oct (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Oct)

South_Pacific_Communities_kosrae_DNI_Mar (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Mar)

South_Pacific_Communities_kosrae_GHI_Sep (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Sep)

South_Pacific_Communities_Pohnpei_DNI_Nov (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Nov)

South_Pacific_Communities_kosrae_DNI_Feb (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Feb)

wind_power_wind_stations (irena:wind_power_wind_stations)

Total Potential High Temperature Spain (spain:total_potential_high_temperature)

This layer shows potential areas for medium temperature geothermal systems with temperatures greater than 150 degrees Celsius. The map highlights several areas and estimates the total potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

South_Pacific_Communities_kosrae_GHI_Aug (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Aug)

World Geothermal Power Plants 2014 (irena:geo_power_plants)

The Global Geothermal Plants database is a massive effort to provide an inventory of the existing geothermal plants all over the world. In this dataset, users would find for each geothermal plant; the plant name, the field name, the country and region where it is located, the name plate (installed) capacity, the operator and other relevant information. The dataset has been made available to the Global Renewable Energy Atlas by ThinkGeoEnergy (http://thinkgeoenergy.com). Kindly contact potentials@irena.org regarding any additional information or possible update of the dataset with any new plants you are aware of.

Uruguay Daily Average GHI February (uruguay:Uruguay_ghi_february)

Intermediate Map Wind Grid Connected 75km 2013 (ecowas_demo:intermediate_wind_grid_75km)

Intermediate Map Grid Connected 75Km 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 75 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_kosrae_GHI_Mar (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Mar)

South_Pacific_Communities_Yap_GHI_Mar (south_pacific_com:South_Pacific_Communities_Yap_GHI_Mar)

South_Pacific_Communities_kosrae_DNI_Dec (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Dec)

World Database on Protected Areas World point UNEP 2012 (IUCN:WDPA_point)

South_Pacific_Communities_Yap_GHI_Aug (south_pacific_com:South_Pacific_Communities_Yap_GHI_Aug)

Solar PV off-Grid 75km 2013 (ecowas_demo:pv_descent_75)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 75 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Israel Annual Average GHI 2008 (israel:ghi_9_stations_Israel)

This dataset contains the annual average Solar Radiation (GHI) from 9 stations in Israel. A 20-year database of meteorological measurements from the Negev sites: Arad, Beersheba, Besor Farm, Eilat, Hatzeva, Mitzpe Ramon, Sede Boqer, Sedom and Yotvata was employed to synthesize a set of updated Typical Meteorological Year data files (TMY v.5) based on the direct beam component, and the archived hourly data. Report on the Solar Radiation Maps of the Negev: http://irena.masdar.ac.ae/docs/Israel_solar_radiation_maps_of_the_Negev.pdf Report on the Data Processing for the Negev Radiation Survey: Part III – Typical Meteorological Year (TMY), Version 5: http://irena.masdar.ac.ae/docs/Israel_data_processing_for_the_Negev_radiation_survey.pdf

South_Pacific_Communities_kosrae_Aspect (south_pacific_com:South_Pacific_Communities_kosrae_Aspect)

Available Potential Medium Temperature Spain (spain:available_potential_medium_temperature)

This layer shows potential areas for medium temperature geothermal systems with temperatures between 100 and 150 degrees Celsius. The map highlights several areas and estimates the available potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

Accessible Potential High Temperature Spain (spain:accessible_potential_high_temperature)

This layer shows potential areas for medium temperature geothermal systems with temperatures greater than 150 degrees Celsius. The map highlights several areas and estimates the accessible potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

3TIER’s Global Wind Dataset 5km onshore wind speed at 80m height units in m/s (training:_3tier_global_windspeed_land_80m)

3TIER’s Global Wind Dataset 5km onshore wind speed at 80m height units in m/s. 3TIER’s Global Wind Dataset provides average annual wind speed at 80 meters above ground. Average values are based on over 10 years of hourly data created through advanced computer model simulations. 3TIER created this dataset using a combination of statistical methods and physics-based numerical weather prediction models, which create realistic wind fields throughout the world by simulating the interaction between the entire atmosphere and the Earth’s surface. The wind speed dataset validated well when compared with more than 4000 NCEP-ADP networks stations (validation paper available here: http://www.3tier.com/static/ttcms/us/documents/publications/validations/3TIER_WP_FL_gbl_wind_validation.pdf). The information provided in the Global Atlas is meant to inform high-level policy debate (identification of opportunity areas for further prospection, preliminary assessment of technical potentials), or to perform market screening (cross referencing the resource information with policy information). It is suitable for decision-making activities, excluding financial commitments. It is a subset of a more detailed, long-term dataset, which includes additional hourly wind information such as wind direction, power density, and wind distribution. 3TIER can provide this information as well as information at higher spatial and temporal resolutions in addition to other customized energy services to facilitate project-specific or regional development, financial planning, and energy trading and scheduling. By using this dataset, the user accepts 3TIER's Terms and Conditions shown here: http://irena.org/globalatlas/demo/3TIER-terms-conditions.aspx.

Total Potential Very Low Temperature in Subsoil Rocks (spain:total_potential_very_low_temp_in_subsoil_rocks)

This layer shows areas in Spain with potential for very low temperature geothermal applications at with temperatures less than 30 degrees Celsius. The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 114). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

Uruguay Daily Average GHI March (uruguay:Uruguay_ghi_march)

Intermediate Map Grid Connected 75Km 2013 (ecowas_demo:intermediate_pv_grid_75km)

Intermediate Map Grid Connected 75Km 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 75 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Global Lakes and Wetlands Database Level 3 world Bernhard Lehner 2004 (irena:global_lakes_wetlands)

The Global Lakes and Wetlands Database draws upon a variety of existing maps, data and information. The combination of best available sources for lakes and wetlands on a global scale (1:1 to 1:3 million resolution), and the application of Geographic Information System (GIS) functionality enabled the generation the database which focuses on three coordinated levels: (1) large lakes and reservoirs, (2) smaller water bodies, and (3) wetlands.

Uruguay Daily Average GHI June (uruguay:Uruguay_ghi_june)

World Database on Protected Areas World polygon UNEP Aug 2014 (IUCN:wdpa_polygon_aug2014)

Kuwait Monthly Average Wind Direction 2012-2013 (kuwait:Kuwait_average_wind_direction)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for wind direction. Measurements cover the period Sept. 2012 - Aug. 2013.

Global sub stations OpenStreetMap 2015 extract (irena:osm_global_power_stations)

Mean Power Density South Africa North Cape 250m WASA May 2013 (southAfrica:NC_250m_PD_2013_130)

Mean power density P [Wm−2] @ 100 m above ground level for North Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Intermediate Map Off-Grid 20Km 2013 (ecowas_demo:intermediate_pv_offgrid_20km)

Intermediate Map Off-Grid 20Km 2013 for Solar PV opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 20 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Yap_GHI_Jan (south_pacific_com:South_Pacific_Communities_Yap_GHI_Jan)

Mean wind speed South Africa East Cape 250m WASA May 2013 (southAfrica:EC_250m_U)

Mean wind speed U [ms−1] @ 100 m above ground level for East Cape. Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Intermediate Map Grid Connected 20Km 2013 (ecowas_demo:intermediate_pv_grid_20km)

Intermediate Map Grid Connected 20Km 2013 for Solar PV opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 20 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Alberta Geothermal Landuse Dataset (canada:alberta_geothermal_landuse_dataset)

South_Pacific_Communities_Pohnpei_GHI_Jan (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Jan)

Global Power Generators OpenStreetMap 2016 (irena:osm_global_powergenerators_2016)

exploitation_concession_may2015 (chile_geothermal:exploitation_concession_may2015)

South_Pacific_Communities_Chuuk_GHI_Nov (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Nov)

South_Pacific_Communities_Pohnpei_DNI_Mar (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Mar)

Wind off-Grid 75km 2013 (ecowas_demo:wind_descent_75_wgs84)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 75 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Yap_DNI_Jan (south_pacific_com:South_Pacific_Communities_Yap_DNI_Jan)

South_Pacific_Communities_Pohnpei_GHI_Mar (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Mar)

South_Pacific_Communities_Chuuk_DNI_Aug (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Aug)

Solar PV off-Grid 20km 2013 (ecowas_demo:pv_descent_20)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 20 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Intermediate Map Off-Grid 150Km 2013 (ecowas_demo:intermediate_pv_offgrid_150km)

Intermediate Map Off-Grid 150Km 2013 for Solar PV opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 150 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Wind Grid Connected 75km 2013 (ecowas_demo:wind_cent_75_wgs84)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 75 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Pohnpei_GHI_Aug (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Aug)

South_Pacific_Communities_Chuuk_GHI_Jan (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Jan)

South_Pacific_Communities_Pohnpei_Aspect (south_pacific_com:South_Pacific_Communities_Pohnpei_Aspect)

Intermediate Map Wind Slope 2013 (ecowas_demo:intermediate_wind_slope)

Intermediate Map Slope 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - slope below 20%; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

wind_stations (mongolia:wind_stations)

South_Pacific_Communities_Chuuk_DNI_Mar (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Mar)

Uruguay Daily Average GHI January (uruguay:Uruguay_ghi_january)

South_Pacific_Communities_Chuuk_DNI_Apr (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Apr)

South_Pacific_Communities_Pohnpei_GHI_Apr (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Apr)

exploration_concession_may2015 (chile_geothermal:exploration_concession_may2015)

World country borders GADM (irena:gadm_country_borders)

The global country boundaries layer has been produced using the Global Administrative Boundaries (GADM) database which is a comprehensive collection of spatial information on administrative areas all over the world. http://gadm.org/ The comprehensive GADM database covers countries and lower level subdivisions such as states, provinces, and counties.

Irena Officies (irena:five_year_irena)

Kuwait Monthly Average DHI 2012-2013 (kuwait:Kuwait_dhi)

Accessible Potential Medium Temperature Spain (spain:accessible_potential_medium_temperature)

This layer shows potential areas for medium temperature geothermal systems with temperatures between 100 and 150 degrees Celsius. The map highlights several areas and estimates the accessible potential for each area in GWh The full details for this map and the methodology with which they have been developed is contained in the report: Evaluacion Del Potencial De Energia Geothermica, Estudio Technico Per 2011 – 2020 (p 167). http://www.idae.es/uploads/documentos/documentos_11227_e9_geotermia_A_db72b0ac.pdf

Dry Spell Zone (tanzania:dry_spell_zone)

South_Pacific_Communities_Pohnpei_DNI_Jun (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Jun)

Global Geothermal Points Heat Flow IHFC 2015 (irena:global_heatflow_2015)

South_Pacific_Communities_Yap_Aspect (south_pacific_com:South_Pacific_Communities_Yap_Aspect)

Generalized annual mean wind power density at 100m South Africa 5Km RISOE 1980-2009 (southAfrica:SAFSA2050_02_z100.52_E_layer)

This map contains the generalized annual mean wind power density [W/m^2] at 100 m a.g.l. over the flat terrain and uniform roughness of 0.03 m. The Wind Atlas for South Africa (WASA) Project is an initiative of the South African Dept of Energy (DoE) with the South African National Energy Development Institute (SANEDI) executing, managing WASA and contracting the Implementation Partners: The South African Council for Scientific and Industrial Research (CSIR), University of Cape Town (Climate Systems Analysis Group) (UCT CSAG), South African Weather Services (SAWS) and Department of Wind Energy, Technical University of Denmark (DTU Wind Energy). The main objective of WASA through capacity development and research cooperation is to develop and employ numerical (modelled) wind atlas methods and to develop capacity to enable long term planning of large-scale exploitation of wind power in South Africa, including dedicated wind resource assessment and siting tools for planning purposes, i.e. a Verified with physical wind measurements Numerical (modelled) Wind Atlas and database for South Africa. More information can be found following the link: http://www.wasaproject.info/. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Annual Average Solar GHI in Peru (peru:peru_solar_annual)

Korea – Temperature at 4 km depth for enhanced geothermal systems by KIGAM (korea_geothermal:korea_temp_at_4km_depth)

Intermediate Map Off-Grid 75Km 2013 (ecowas_demo:intermediate_pv_offgrid_75km)

Intermediate Map Off-Grid 75Km 2013 for Solar PV opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 75 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Average Solar GHI May in Peru (peru:peru_solar_may)

Site RIX value South Africa North Cape 250m WASA May 2013 (southAfrica:NC_250m_RIX)

Site RIX value calculated by WAsP (standard parameter setup) for North Cape . Purpose This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape. Methodology Reference is made to the information and documentation available from http://www.wasaproject.info Limitations The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data. In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly. The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site meas-urements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available. Available documentation The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The First Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata.csir.co.za/wasa1/WASAData Acknowledgements CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Acknowledgements SANEDI (South African National Energy Development Institute) for managing WASA CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, DTU Wind Energy and World in a Box Oy for Frogfoot development. Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=2031. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Total Potential Very Low Temperature in Exploitable Aquifers (spain:total_potential_very_low_temp_exploitable_aquifers)

Uruguay Daily Average GHI September (uruguay:Uruguay_ghi_september)

Thermal Zones (tanzania:thermal_zones)

Average Solar GHI December in Peru (peru:peru_solar_december)

Wind Energy Projects Belgium Economie (belgium:wind_energy_projects)

This dataset shows areas of windmills at Belgium sea. More information can be obtained through this link: http://www.mumm.ac.be/EN/Management/Sea-based/windmills_docs.php

Global Population Database World 1km ORNL 2011 (irena:lspop20111)

The LandScan 2011 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

Wind off-Grid 150km 2013 (ecowas_demo:wind_descent_150_wgs84)

Opportunity scores for offgrid applications in the ECOWAS region. Illustration for the following parameters: - further than 150 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a non-null population density; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Wind Grid Connected 150km 2013 (ecowas_demo:wind_cent_150_wgs84)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 150 km from the existing grid; - for a wind speed starting from 4.5 m/s, suitable at 7 m/s and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas; - not above 2000m. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Yap_DNI_Apr (south_pacific_com:South_Pacific_Communities_Yap_DNI_Apr)

World airports (irena:world_airports)

Airports of the world

Mozambique - Land availability map of 2030 in progressive scenario (mozambique_bioenergy:Plandavailable2030)

Kuwait Minimum Monthly Temperature 2012-2013 (kuwait:Kuwait_min_monthly_temp)

Data supplied by the Kuwait Institute for Scientific Research. Monthly average values for five measurement stations in Kuwait for temperature. Measurements cover the period Sept. 2012 - Aug. 2013.

Global power lines OpenStreetMap 2016 (irena:osm_global_powerlines_2016)

South_Pacific_Communities_Pohnpei_GHI_Nov (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Nov)

South_Pacific_Communities_Yap_DNI_Sep (south_pacific_com:South_Pacific_Communities_Yap_DNI_Sep)

South_Pacific_Communities_Chuuk_GHI_Apr (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Apr)

Detailed Exploration Zone (kenya:Detailed_Exploration_Zone)

Rainfall Map (tanzania:rainfall_map)

Intermediate Map Wind Grid Connected 50km 2013 (ecowas_demo:intermediate_wind_grid_50km)

Intermediate Map Grid Connected 50Km 2013 for Wind opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 50 km from the existing grid; The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Chuuk_GHI_Sep (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Sep)

South_Pacific_Communities_Chuuk_DNI_Jan (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Jan)

Korea – Temperature at 5 km depth for enhanced geothermal systems by KIGAM (korea_geothermal:korea_temp_at_5km_depth)

South_Pacific_Communities_Chuuk_DNI_Jun (south_pacific_com:South_Pacific_Communities_Chuuk_DNI_Jun)

South_Pacific_Communities_kosrae_DNI_Jun (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Jun)

South_Pacific_Communities_Pohnpei_GHI_Jun (south_pacific_com:South_Pacific_Communities_Pohnpei_GHI_Jun)

Mozambique - Land use map of 2010 in progressive scenario (mozambique_bioenergy:PlandUse2010)

South_Pacific_Communities_Pohnpei_DNI_Sep (south_pacific_com:South_Pacific_Communities_Pohnpei_DNI_Sep)

South_Pacific_Communities_kosrae_DNI_Apr (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Apr)

temperature_measurements (germany:temperature_measurements)

South_Pacific_Communities_kosrae_GHI_Oct (south_pacific_com:South_Pacific_Communities_kosrae_GHI_Oct)

Solar PV Grid Connected 20km 2013 (ecowas_demo:pv_cent_20)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 20 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

South_Pacific_Communities_Yap_DNI_Jun (south_pacific_com:South_Pacific_Communities_Yap_DNI_Jun)

South_Pacific_Communities_kosrae_GHI_May (south_pacific_com:South_Pacific_Communities_kosrae_GHI_May)

South_Pacific_Communities_Chuuk_GHI_Jun (south_pacific_com:South_Pacific_Communities_Chuuk_GHI_Jun)

Global Population Database World 1km ORNL 2014 (irena:lspop2014)

The LandScan 2014 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

Global Solar Radiation Zimbabwe (zimbabwe:Zimbabwe_annual)

Global solar radiation map for Zimbabwe obtained through correlating long-term ground- and satellite-based monthly clearness index values. Source: T. Hove, E. Manyumbu, G. Rukweza. "Developing an improved global solar radiation map for Zimbabwe through correlating long-term ground- and satellite-based monthly clearness index values". Accepted for publication in Renewable Energy, Elsevier, on 15/10/2013. Link: http://irena.masdar.ac.ae/docs/Solar_radiation_map_Zimbabwe_T_Hove_E_Manyumbu_G_Rukweza.pdf

Solar PV Grid Connected 150km 2013 (ecowas_demo:pv_cent_150)

Opportunity scores for grid connected applications in the ECOWAS region. Illustration for the following parameters: - less than 150 km from the existing grid; - for a annual global horizontal irradiation starting from 1500 kwh/m2/y, suitable at 2100 kwh/m2/y and beyond; - a population density below 500 hab/km2; - not in forested areas, water bodies or protected areas. The scores are allocated as follows: the minimum score for a parameter starts at 0, with the minimum acceptable value. It increases linearly to 1 (100%), when a suitable value is reached. The value is maintained to 100% beyond this value. In our demonstration, the final score for a location is the average of the scores for each parameter. Limitations of the methods are indicated in the related report, available at: http://www.irena.org/globalatlas/Publication.aspx Project: Opportunity areas for grid connected and offgrid applications in the ECOWAS region. Project initiated under the Global Atlas initiative as a contribution to the GEOSS AIP 6. The proposed maps illustrate the capabilities of the Global Atlas for spatial planning purposes, in the case of the ECOWAS region. This demonstration shows a first range of possibilities for opportunity areas, based on a range of assumptions. The purpose of this demonstration is not to provide definitive assessment of opportunity zones for future developments, but to initiate a dialogue with the stakeholders of the region on the regional opportunities for solar and wind resources. The outcomes of this first cut analysis, and the selected assumptions, are to be reviewed in partnership with the regional stakeholders.Find the full report at: http://www.irena.org/globalatlas/Publication.aspx

Average Solar GHI January in Peru (peru:peru_solar_january)

South_Pacific_Communities_kosrae_DNI_Sep (south_pacific_com:South_Pacific_Communities_kosrae_DNI_Sep)

Change in population density every1km between 2011 and 2012 (irena:lspop2012-2011)

Map of changes in population density between 2011 and 2012 based on LandScan 2011 and 2012 Global Population Database, developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

Average Solar GHI October in Peru (peru:peru_solar_october)

Uruguay Daily Average GHI April (uruguay:Uruguay_ghi_april)

railway (tanzania:railway)

South_Pacific_Communities_kosrae_Elevation (south_pacific_com:South_Pacific_Communities_kosrae_Elevation)

There are currently no notifications for the service, click the feed icon to subscribe.

This page is generated by Spatineo from information provided by the service. Read the our Service metadata guide for tips on how to make your service page look better by improving the information content of the service metadata your service is providing.

Last updated 2025-05-04 10:53:12 UTC.

[unknown data provider]

Web Map Service - GeoWebCache

Ads by Google

Available map layers (309)

Service notifications