RAIN4PE: High-Resolution Gridded Precipitation for Peru and Ecuador (GFZ Data Services)
Daily gridded precipitation dataset for Peruvian and Ecuadorian watersheds (1981-2015) at 0.1-degree resolution, merging CHIRP, ERA5 and gauge data with terrain elevation via random-forest regression and hydrologically corrected with streamflow. NetCDF download from GFZ Data Services; outperforms CHIRPS, MSWEP and PISCO for streamflow simulation.
dataservices.gfz-potsdam.de
At a glance
- Region
- Peru and Ecuador (South America)
- Coverage
- watersheds, 1981-2015
- Access
- Free
- Category
- Research Institute
- Last updated
- 2022
What's inside
- precipitation
- gridded climate
- streamflow-corrected forcing
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: streamflow-corrected forcing
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
Because it has: precipitation
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
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