Derived from the DNV GL Wind Mapping System (WMS) which is based upon the Weather Research and Forecasting (WRF) model, a simulation of temperature, pressure and vapor mixing ratio at a horizonal resolution of 2 km. This 2-km resolution wind atlas is based on a complete 10-year simulation (2005-2015).The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_tanzania

Data derived from WRF simulated wind speed for the period from 15/04/2004 to 15/04/2014 at a horizontal resolution of 2 km; Mean wind speed at 10 m agl from 15/04/2004 to 15/04/2014 in [m/s]. This 2-km resolution wind atlas is based on a complete 10-year simulation of the local and regional wind flows. The wind simulation was generated using DNV's GL Wind Mapping System (WMS): a dynamic downscaling system developed to generate high-resolution mesoscale wind maps.The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_zambia

Direct normal irradiance (DNI) measures the solar radiation received by a surface held perpendicular to the sun's rays. This quality of solar irradiation is of interest to concentrating solar thermal stations and those that track the movement of the sun. The map is an un-validated, satellite-derived estimate of averaged irradiance, and was created by CIEMAT, CENER and IDAE.The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_vietnam

Data derived from the DNV GL Wind Mapping System (WMS) which is based upon the Weather Research and Forecasting (WRF) model. A set of Monte-Carlo-based ensemble simulations were performed at a horizontal resolution of 10 km. This 2-km resolution wind atlas is based on a complete 10-year simulation (2005-2015).The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_tanzania

Data derived from 9 member WRF multiphysics ensemble of simulated wind speed at a horizontal resolution of 10 km; ensemble standard deviation at 100 m agl in [m/s]. This 2-km resolution wind atlas is based on a complete 10-year simulation of the local and regional wind flows. The wind simulation was generated using DNV's GL Wind Mapping System (WMS): a dynamic downscaling system developed to generate high-resolution mesoscale wind maps.The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_zambia

Simulated mean wind speed covering the years 2003-2010 at 100 m a.g.l, measured in m per second. Values reflect orography and surface roughness length as they are represented in the model. These data were developed using the Weather, Research, and Forecasting model at a 5km interval. The original modeling work was performed by DTU. The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_vietnam

A map of approximate net annual energy production (GWh/annum) that would be produced by a single generic wind turbine at 100m. The generic wind turbine can be further explored in Annex A of the phase 1 report, but the measurements include an ~80% loss of peak performance. The data were created by DNV-GL.The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_maldives

Data derived from WRF simulated wind speed for the period from 15/04/2004 to 15/04/2014 at a horizontal resolution of 2 km; Mean wind speed at 100 m agl from 15/04/2004 to 15/04/2014 in [m/s]. This 2-km resolution wind atlas is based on a complete 10-year simulation of the local and regional wind flows. The wind simulation was generated using DNV's GL Wind Mapping System (WMS): a dynamic downscaling system developed to generate high-resolution mesoscale wind maps.The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_zambia

Photovoltaic potential is essential to developing an economic understanding of a PV system. The PV potential is defined as the electric energy produced per peak power installed. In this simulation, the power plant is a small, ground-mounted power plant with PV modules tilted 7 degrees toward the euqator. The data were created by GeoModel SolarThe map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_maldives

Global Horizontal irradiance (GHI) is the total solar radiation received by a surface horizontal to the ground. This value includes both the direct normal irradiance and the diffuse horizontal irradiance, and is of particular interest to photovoltaic installations; these data were created by GeoModel Solar.The map is an un-validated, satellite-derived estimate. As part of phase II of the WBG initiative, these maps will be validated through the use of ground measurement data, and until the data collection period is finished should be considered for policy use, rather than energy prospecting, following IRENA's classification of renewable energy data. For complete terms of use, please visit http://globalatlas.irena.org/terms_wbg_esmap.aspx . For full metadata, reports, and data download, please visit http://www.esmap.org/re_mapping_maldives