Data Sets

Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS)

Climate Hazards center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall data set. Spanning 50°S-50°N (and all longitudes), starting in 1981 to near-present, 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. As of February 12th, 2015, version 2.0 of CHIRPS is complete and available to the public. For detailed information on CHIRPS, please refer to our paper in Scientific Data.

Climate Hazards center IMErg with Stations (CHIMES)

A gauge-enhanced data set designed to support global crop and hydrologic modeling and monitoring. CHIMES enhances the IMERG Late Run product using an updated CHC high-resolution climatology (CHPclim) and low-latency rain-gauge observations.

Climate Hazards Center’s Precipitation Climatology (CHPClim)

The Climate Hazards Center's Precipitation Climatology version 1 (CHPclim v.1.0, data set available on our FTP here) is a new geospatial modeling approach based on moving window regressions and inverse distance weighting interpolation. This approach combines satellite fields, gridded physiographic indicators, and in situ climate normals. The resulting global 0.05◦ 25 monthly precipitation climatology is shown to compare favorably with similar global climatology products, especially in areas with complex terrain and low station densities. A paper discussing the CHPclim is available here



The CHIRPS-GEFS data set uses the higher spatial resolution of CHIRPS and the advanced forecasting ability of GEFS to provide weather forecasts, updated daily at a spatial resolution of 5 km across the globe. In blending CHIRPS and GEFS, we bias-correct and downscale GEFS with respect to CHIRPS. 


CHIRTSmax is a global 2-m maximum temperature (Tmax) product that directly combines satellite and station-based estimates of Tmax to produce routinely updated data to support the monitoring of temperature extremes. The CHIRTSmax development process broadly follows the data development strategy used to develop our CHIRPS precipitation data set, integrating a long-term climatology with satellite information and available station data. The result is a monthly estimate of the daily maximum temperature for the 1983-2016 time period.

Evaporative Demand Drought Index (EDDI) Forecasts 

EDDI is an experimental indicator of drought severity and a promising tool for early warning guidance. This indicator is based solely on atmospheric evaporative demand (Eo). EDDI measures the signal of drought through the response of Eo to surface drying anomalies that result from two distinct land surface-atmosphere interactions: 1) a complementary relationship between E0 and Evapotranspiration (ET) that develops under moisture limitations at the land surface, leading to ET declining and increasing E0, as in sustained droughts, and 2) parallel ET and E0 increases arising from increased energy availability that lead to surface moisture limitations, as in flash droughts (Hobbins et al., 2016).