High-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds (1981-2015)¶

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.

Currently included layers are:

Earth Engine Snippet: Annual mean¶

var rain4pe_clim = ee.ImageCollection('users/csaybar/rainpe/annual_mean')

Sample Code: https://code.earthengine.google.com/35895dc6b3dda529d308673018cadced

Earth Engine Snippet: Monthly climatology¶

var rain4pe_clim = ee.ImageCollection('users/csaybar/rainpe/monthly_clim')

Sample Code: https://code.earthengine.google.com/5f88fb66ff5d9799c0bcd9ab7bccd200

Earth Engine Snippet: Monthly data¶

var rain4pe_clim = ee.ImageCollection('users/csaybar/rainpe/monthly')

Sample Code: https://code.earthengine.google.com/3374b08b0eacaf0a4003d9098a4d56b3

Earth Engine Snippet: Daily data¶

var rain4pe_daily = ee.ImageCollection('projects/sat-io/open-datasets/rainpe/daily')

Sample Code: https://code.earthengine.google.com/b47746a9e13a42d10537f1ac4f92475b

Resolution: 0.1° (or roughly 10km x 10km)¶

citation¶

When using the data please cite:

Fernandez-Palomino, C. A.; Hattermann, F. F.; Krysanova, V.; Lobanova, A.; Vega-Jácome, F.; Lavado, W.;
Santini, W.; Aybar, C.; Bronstert, A. (2021). Rain for Peru and Ecuador (RAIN4PE). V. 1.0. GFZ Data
Services. https://doi.org/10.5880/pik.2020.010

The data are supplementary material to:

Fernandez-Palomino, C. A.; Hattermann, F. F.; Krysanova, V.; Lobanova, A.; Vega-Jácome, F.; Lavado, W.;
Santini, W.; Aybar, C.; Bronstert, A. (2021). A novel high-resolution gridded precipitation dataset for
Peruvian and Ecuadorian watersheds – development and hydrological evaluation. Journal of
Hydrometeorology. https://doi.org/10.1175/jhm-d-20-0285.1

License¶

This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribute the material in any medium or format, and to transform and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made.

Curated by: Cesar Aybar & Samapriya Roy

Keywords: precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS.