Advances in Building Climate Service Capacities using the FEWS NET Data and Tools

Authors: Diego Pedreros*, United States Geological Survey, Chrisopher Funk, United States Geological Survey, Peter Peterson, CHG, Gregary Husak, UCSB/CHG
Topics: Applied Geography, Arid Regions, Hazards and Vulnerability
Keywords: CHIRPS, FEWS NET, Agriculture, climate, rainfall
Session Type: Paper
Day: 4/13/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Mid-City, Sheraton, 8th Floor
Presentation File: No File Uploaded

There is a great need for capacity building within national and regional climate agencies in developing countries to improve and analyze historical and real time gridded rainfall datasets. These datasets are of key importance for monitoring climate and agricultural food production at decadal and seasonal time scales, and for informing local decision makers. The Famine Early Warning Systems Network (FEWS NET), working together with the U.S. Geological Survey (USGS) and the Climate Hazards Group (CHG) of the University of California Santa Barbara, has developed an integrated set of data products and tools to support the development of climate services in different parts of the world. The core data product is the Climate Hazards Infrared Precipitation with stations (CHIRPS) dataset. CHIRPS is a rainfall dataset resulting from the blending of satellite estimated precipitation with high resolution precipitation climatology and available stations. CHIRPS depicts rainfall on five day totals at 5km spatial resolution from 1981 to present. The CHG has developed the standalone tool - GeoCLIM – which allows national and regional meteorological agencies to blend CHIRPS with station observations, run simple crop water balance models, and conduct climatological, trend, and time series analysis. We present the results of a series of training sessions delivered in Ethiopia, South Asia and Latin America. The two week training program includes the use of the GeoCLIM to improve CHIRPS using station data, and to calculate and analyze trends in rainfall, WRSI, and drought frequency in the region.

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