CHIRPS Daily: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final)

  • The dataset is called Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) and is a 30+ year quasi-global rainfall dataset available daily from 1981-01-01 to 2025-09-30.

  • CHIRPS combines 0.05° resolution satellite imagery with ground station data to produce gridded rainfall time series.

  • This dataset is suitable for trend analysis and seasonal drought monitoring.

  • The dataset is in the public domain with all copyright waived.
UCSB-CHG/CHIRPS/DAILY
Dataset Availability
1981-01-01T00:00:00Z–2025-09-30T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("UCSB-CHG/CHIRPS/DAILY")
Cadence
1 Day
Tags
chg climate geophysical precipitation ucsb weather

Description

Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring.

Bands

Pixel Size
5566 meters

Bands

Name Units Min Max Pixel Size Description
precipitation mm/d 0* 1444.34* meters

Precipitation
* estimated min or max value

Terms of Use

Terms of Use

This datasets are in the public domain. To the extent possible under law, Pete Peterson has waived all copyright and related or neighboring rights to Climate Hazards Center Infrared Precipitation with Stations (CHIRPS).

Citations

Citations:

  • Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell & Joel Michaelsen. "The climate hazards infrared precipitation with stations-a new environmental record for monitoring extremes". Scientific Data 2, 150066. doi:10.1038/sdata.2015.66 2015.

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY')
                  .filter(ee.Filter.date('2018-05-01', '2018-05-03'));
var precipitation = dataset.select('precipitation');
var precipitationVis = {
  min: 1,
  max: 17,
  palette: ['001137', '0aab1e', 'e7eb05', 'ff4a2d', 'e90000'],
};
Map.setCenter(17.93, 7.71, 2);
Map.addLayer(precipitation, precipitationVis, 'Precipitation');

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

dataset = ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY').filter(
    ee.Filter.date('2018-05-01', '2018-05-03')
)
precipitation = dataset.select('precipitation')
precipitation_vis = {
    'min': 1,
    'max': 17,
    'palette': ['001137', '0aab1e', 'e7eb05', 'ff4a2d', 'e90000'],
}

m = geemap.Map()
m.set_center(17.93, 7.71, 2)
m.add_layer(precipitation, precipitation_vis, 'Precipitation')
m
Open in Code Editor
Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring.
UCSB-CHG/CHIRPS/DAILY, chg,climate,geophysical,precipitation,ucsb,weather
1981-01-01T00:00:00Z/2025-09-30T00:00:00Z
-50 -180 50 180
Google Earth Engine