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
In response to increasing scientific and humanitarian need to place recent seasonal and multi-annual East African precipitation extremes in a deep historic context, the Climate Hazards Center and Florida State University (FSU) pooled their station archives and expertise to produce a high quality gridded "Centennial Trends" precipitation data set.
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.