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 50 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

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

Data derived from the U.S. Geological Survey (USGS) vegetation type and processed using WRF Preprocessing system (WPS); aerodynamic roughness length in [m]. 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

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

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

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. This map was developed by CENER 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 http://www.esmap.org/re_mapping_tanzania

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; it is modified by an efficiency modifier, which was estimated at 0.82 for this application. This map was developed by CENER 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 http://www.esmap.org/re_mapping_tanzania

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 CENER 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 http://www.esmap.org/re_mapping_tanzania

Data derived from the U.S. Geological Survey (USGS) vegetation type and processed using the DNV GL Wind Mapping System (WMS) which is based upon the Weather Research and Forecasting (WRF) Preprocessing system (WPS). 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