CHIRPS Rainfall Data (v2/v3)
Climate Hazards Group InfraRed Precipitation with Station data, 0.05° resolution daily/monthly rainfall from 1981 to near-present (50°S-50°N)
Build a drought monitoring system for Maharashtra using CHIRPS satellite rainfall data at village resolution.
Quick Start
import xarray as xr
# Download from https://www.chc.ucsb.edu/data/chirps
# ds = xr.open_dataset('chirps_daily.nc')
# mh = ds.sel(latitude=slice(15.5, 22.5), longitude=slice(72.5, 81))
print('CHIRPS rainfall: https://www.chc.ucsb.edu/data/chirps')
Modality
Gridded (GeoTIFF/NetCDF)
Size
Global; 0.05° (~5.5 km); daily since 1981
License
Open (public domain)
Organization
Climate Hazards Center, UC Santa Barbara
Schema
| Field | Type | Description |
|---|
| latitude | float | Latitude coordinate |
| longitude | float | Longitude coordinate |
| precipitation_mm | float | Rainfall in millimeters |
| date | date | Date of measurement |
Build With This
Create a rainfall anomaly detector that identifies Maharashtra districts receiving significantly below-normal monsoon rainfall
Develop a crop-rainfall correlation model that predicts yield impacts from rainfall patterns across Maharashtra
Build a historical drought atlas for Maharashtra using 40+ years of CHIRPS gridded rainfall data
AI Use Cases
Rainfall anomaly detectionagricultural drought monitoringcrop-climate modelling
Last verified: 2026-03-07