Map of the monthly total precipitation, during the period 1971-2000, obtained by multivariate regression with altitude and distance to the coast, explanatory variables, and ordinary kriging of residues.

Mean wind speed at 50m above ground estimated for the period 1980 - 2011. The mean wind speed is based on values for each hour during the period 1980 - 2011. Wind speeds change from one year to another. A Weibull distribution is therefore not sufficient to analyse wind power at this location. Instead a wind index shows the change of wind speed from one year to another. Register for free at http://www.sander-partner.com and view the local wind index for any location on the World.

SRID 900913 of two available coordinate systems. Monthly average solar resource for horizontal flat-plate collectors for Africa, Bangladesh, Brazil, Caribbean, Central AMerica, Eas Asia, Ethiopia, Ghana, Kenya, Mexico, Nepal, South America, and Sri Lanka. 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. Source: NREL

SRID 900913 of two available coordinate systems. TILT 10km Resolution by GeoModel for Turkey. Units: kWh/m sq. per day, Source: GeoModel

SRID 900913 of two available coordinate systems. Normal direct solar radiation in kWh/m2/day for 1 year organized into cells with 10km x 10km 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

High resolution monthly average direct normal irradiance (DNI) solar resource for Afghanistan, Bhutan, Central America, Cuba, India, Pakistan, United States. units:KWh/m sq. per day, Source: SUNY Albany

SRID 900913 of two available coordinate systems. Monthly global horizontal irradiance for Afghanistan, Bhutan, Central America, Cuba, India, Pakistan, and the United States. Cell size 10km x 10km. Units: kWh/m sq. per day Source: SUNY Albany

The Global Roads Inventory Project (GRIP) database is developed PBL. The GRIP database was created in order to provide a current, consistent and harmonized global roads database. Source data was collected from about 60 public (United Nations, NSDIs, topographic agencies, NGOs, OpenStreetmap, etc). To create a consistent and transparent global roads database that can be used and maintainted by a larger community the UN UNSDI-T version 2 light datamodel was used.

This spatial vector dataset shows areas of identified high quality potential for wind development divided into large contiguous areas called "zones." This dataset contains zones for the Southern Africa Power Pool (SAPP). This is one of many products resulting from a study led by the International Renewable Energy Agency (IRENA) and the Lawrence Berkeley National Laboratory (LBNL) identifying wind and solar renewable energy zones for the Africa Clean Energy Corridor (ACEC). For each zone identified, multiple siting criteria were estimated, including the total and component levelized cost of electricity (LCOE), average capacity factor, distance to nearest grid infrastructure, distance to the nearest load center, average population density.

Map of the monthly minimum air temperature, mean values of the period 1971-2000, obtained by multivariate regression with altitude and distance to the coast, explanatory variables, and ordinary kriging of residues.