Diffuse horizontal irradiance (DHI) measures the solar radiation received by a surface that does not arrive directly from the sun; the solar radiation that is not direct normal irradiance (DNI), but rather arrives through scattering by molecules and particles in the atmosphere. 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

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

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 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

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

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

Technical potential for solar energy production combines theoretical potential with technical exclusion areas: slope < 3%, no water, roads, railroads, or protected areas, and a minimum area of 1km2 for plan construction. Solar potential was estimated for a flat plate photo voltaic array using a 1 MWe, south-facing, latitude-tilted panel. Estimation is based on the average of a single year of input values. See page 12 of http://www.tcnl.gov.vn/userfile/files/Maps%20of%20Solar%20Resource%20and%20Potential%20in%20Vietnam%20REPORT%20FOR%20PUBLISHING.pdf for more information, 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

Global tilted irradiation (GTI) measures total radiation received on a surface with defined tilt and azimuth, fixed of suntracking. This is the sum of the scattered radiation, direct, and reflected radiation. In the case of PV applications, GTI can be affected by shadow. Data measure the average of annual sums from 1994 Ð 2013 simulation, and was completed 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_zambia

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

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 200 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 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