10.5880/pik.2020.010 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2021-12-22 urn:ogc:def:crs:EPSG:4326 Rain for Peru and Ecuador (RAIN4PE) 2021-12-22 revision doi:10.5880/pik.2020.010 Fernandez-Palomino, Carlos Antonio Potsdam Institute for Climate Impact Research, Potsdam, Germany author Hattermann, Fred F. Potsdam Institute for Climate Impact Research, Potsdam, Germany author Krysanova, Valentina Potsdam Institute for Climate Impact Research, Potsdam, Germany author Lobanova, Anastasia Potsdam Institute for Climate Impact Research, Potsdam, Germany author Vega-Jácome, Fiorella Hidrología – Estudios e Investigaciones Hidrológicas, Servicio Nacional de Meteorología e Hidrología del Perú, LIMA, Peru author Lavado, Waldo Hidrología – Estudios e Investigaciones Hidrológicas, Servicio Nacional de Meteorología e Hidrología del Perú, LIMA, Peru author Santini, William Institut de Recherche pour le Développement (IRD), GET, CNRS, UPS, CNES, Toulouse, France author Aybar, Cesar Department of Geoinformatics – Z_GIS, University of Salzburg, Salzburg, Aust author Bronstert, Axel Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany author GFZ Data Services publisher RAIN4PE is a novel daily gridded precipitation dataset obtained by merging multi-source precipitation data (satellite-based Climate Hazards Group InfraRed Precipitation, CHIRP (Funk et al. 2015), reanalysis ERA5 (Hersbach et al. 2020), and ground-based precipitation) with terrain elevation using the random forest regression method. Furthermore, RAIN4PE is hydrologically corrected using streamflow data in catchments with precipitation underestimation through reverse hydrology. Hence, RAIN4PE is the only gridded precipitation product for Peru and Ecuador, which benefits from maximum available in-situ observations, multiple precipitation sources, elevation data, and is supplemented by streamflow data to correct the precipitation underestimation over páramos and montane catchments. The RAIN4PE data are available for the terrestrial land surface between 19°S-2°N and 82-67°W, at 0.1° spatial and daily temporal resolution from 1981 to 2015. The precipitation dataset is provided in netCDF format. For a detailed description of the RAIN4PE development and evaluation of RAIN4PE applicability for hydrological modeling of Peruvian and Ecuadorian watersheds, readers are advised to read Fernandez-Palomino et al. (2021). Fernandez-Palomino Potsdam Institute for Climate Impact Research, Potsdam, Germany Researcher cafpxl@gmail.com pointOfContact Andes Amazon Peru precipitation streamflow random forest reverse hydrology EARTH SCIENCE > ATMOSPHERE > PRECIPITATION NASA/GCMD Earth Science Keywords publication CC BY 4.0 CC BY 4.0 10.1175/JHM-D-20-0285.1 DOI IsSupplementTo 10.1038/sdata.2015.66 DOI Cites 10.1002/qj.3803 DOI Cites eng geoscientificInformation -81.95 -67.05 -18.95 1.95 1981-01-01 2015-12-31 http://doi.org/10.5880/pik.2020.010 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information