The timing and onset of rainfall is crucial for hundreds of thousands of farmers in the developing world when sowing, fertilizing and harvesting crops. Unpredictability in weather, and rainfall in particular, poses a serious challenge that results in missed opportunities for maximizing crop yields. SERVIR and the Climate Hazards Group (CHG) at the University of California at Santa Barbara (UCSB) have developed an improved rainfall forecast dataset, CHIRPS-GEFS, which merges two highly recognized datasets: Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) and the Global Ensemble Forecasting System (GEFS). The combined CHIRPS-GEFS dataset uses the higher spatial resolution of CHIRPS and the advanced forecasting ability of GEFS to provide up to a 16 day forecast updated every five days at a spatial resolution of five km across the globe. CHIRPS-GEFS is available for analysis and download through SERVIR's Product Catalog.
Visualization of CHIRPS-GEFS daily rainfall dataset
UCSB's Climate Hazards Group (chg.ucsb.edu), the group that started generating the CHIRPS dataset with support from the US Geological Survey and USAID, is also producing the new CHIRPS-GEFS data. The CHIRPS-GEFS rainfall dataset is currently available with data beginning from 1985. National Centers for Environmental Prediction (NCEP) started the GEFS effort to address uncertainty in weather observations, which is used to initialize weather forecast models.