Mean wind speed (m/s) at 50 m, derived from the DNV GL Wind Mapping System (WMS) which is based upon the Weather Research and Forecasting (WRF) model. Simulated period from 15/04/2004 to 15/04/2014 at a horizontal resolution of 2 km. 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

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 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

Based on the simulated wind speed data at 100m a.g.l., power density data measures W per m2. These data introduce flat terrain and uniform roughness length of 10cm across the study area. This generalized model allows for users to plug in their own microscale orography and roughness values in custom simulations. 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

The average wind speed (m/s) at 200m (above ground level) was calculated from the 10-year, hourly simulation at a 2km resolution. 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

An interannual variability index (IAVI) of wind speed and energy was dervied from the WMS 10-year simulations. Care should be taken when using these data, as a robust estimate requires at least 30 years of reliable reference data. 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

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

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. This map was developed by DLR as part of WBG's renewable energy mapping initiative.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 https://www.esmap.org/re_mapping_pakistan

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

Generalized mean wind speed covering the years 2003-2010 at 100 m a.g.l., measured in m per second. These data introduce flat terrain and uniform roughness length of 10cm across the study area. This generalized model allows for users to plug in their own microscale orography and roughness values in custom simulations. 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