Long-term spatial resolution monthly and annual climate maps for Bolivia (dataset)

This dataset introduces monthly and annual climate maps for relevant hydroclimatic variables in Bolivia. We have used the most complete network of precipitation and temperature stations available in Bolivia, which passed a careful quality control and temporal homogenization procedure. Monthly average maps at the spatial resolution of 1-km are modeled by means of a regression-based approach using topographic and geographic variables as predictors, and adding the residuals between observations and predictions, which were interpolated using the inverse distance weighting algorithm. The monthly average maximum and minimum temperatures, precipitation, and topographically modeled exoatmospheric solar radiation are used to estimate the monthly average atmospheric evaporative demand by means of the Hargreaves model. Finally, the average water balance is estimated on a monthly scale for each 1-km cell size by means of the difference between precipitation and atmospheric evaporative demand. Annual maps are created by averaging monthly values for temperature and adding the monthly values for precipitation, atmospheric evaporative demand and water balance. The digital layers are availablein ArcGIS ASCII format.