This map depicts model estimates of annual average global horizontal irradiance (GHI) at 10 km resolution based on hourly estimates of radiation over 10 years (2002-2011). The inputs are visible imagery from geostationary satellites, aerosol optical depth, water vapor, and ozone. Units: kWh/m sq. per day, Source: NREL

This map depicts model estimates of annual average direct normal irradiance (DNI) at 10 km resolution based on hourly estimates of radiation over 10 years (2002-2011). The inputs are visible imagery from geostationary satellites, aerosol optical depth, water vapor, and ozone. Units: kWh/m sq. per day, Source: NREL

Bangladesh Protected Areas Layer Source: World Database on Protected Areas Consortium, copyright World Conservation Union (IUCN) and UNEP-World Conservation Monitoring Centre (UNEP-WCMC) (2005) Description: Database of protected areas of IUCN categories I through VI, other protected areas and areas defined under international agreements. Spatial Resolution: Varied, compiled from multiple sources

Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are regional averages; not point data.Created: December 10, 2007See the NASA Surface meteorology and Solar Energy (SSE) web site at http://eosweb.larc.nasa.gov/sse/. The source data was downloaded from the SSE website at Data Retrieval: Meteorology and Solar Energy > Global data sets as text files. The tabular data was then converted to the shapefile format. Source: U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE)

SRID 4326 of two available coordinate systems. Normal direct solar radiation in kWh/m2/day for 1 year organized into cells with 40km x 40km units:KWh/m sq. per day, Source: INPE (National Institute for Space Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil

SRID 900913 of two available coordinate systems. Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. Data included for Bangladesh, China, Ethiopia, Ghana, Kenya, Nepal, Sri Lanka, and United Arab Emirates. Units: KWh/m sq. per day. Source: DLR - Deutsches Zentrum für Luft- und Raumfahrt

SRID 900913 of two available coordinate systems. Photosynthetically active radiation in kWh/m2/day for 1 year organized into cells with 40km x 40km. (Purpose): The BRASIL-SR model and the SPRING software (both developed by INPE - National Institute for Space Research) were used to produce the dataset and SHAPE files (Supplemental Information): The assessment of reliability levels of the BRASIL-SR model were performed through the evaluation of the deviations shown by the estimated values for solar radiation flux vis-à-vis the values measured at the surface (ground truth). This evaluation was done in two phases. The first phase consisted in an inter-comparison between the core radiation transfer models adopted by the SWERA Project to map the solar energy in the various countries participating in the project. The HELIOSAT model took part in this phase like benchmark due to its employment to map solar energy resources in countries from European Union. In the second phase, the solar flux estimates provided by the BRASIL-SR model were compared with measured values acquired at several solarimetric stations spread along the Brazilian territory.

SRID 900913 of two available coordinate systems. These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

SRID 4326 of two available coordinate systems. Annual average of the aeolic potential at 50m. Content: wind speed in m/s, power class (7 classes), power density in W/m2 and Weibull k value organized into cells with 40km x 40km Source: CEPEL (Electric Energy Research Center/Federal University of Rio de Janeiro) - Brazil and INPE (National Institute for Space Research)

Units: Dry Tons, metadata: BT2 Energy Crops 2022 $60/dry ton. These data are derived from the Billion Ton Update produced by Oak Ridge National Laboratory for the Department of Energy Office of Biomass Program. More information about the Billion Ton Update can be found at the Office of Biomass Program website: (http://www1.eere.energy.gov/biomass/billion_ton_update.html)