Accessing the Accuracy of CHIRPS-GEFS Rainfall in Bangladesh
Abstract
In much of the developing world, high quality rainfall measurements and accurate forecasting products are not commonplace, whereas the benefit for the majority of farmers will be significant as these products become available. University of California-Santa Barbara generates a global rainfall forecast up to 15 days in advance based on the use of their popular CHIRPS rainfall product to bias correct the NOAA's Global Ensemble Forecast System (GEFS). CHIRPS-GEFS preserves the 5-km spatial resolution of CHIRPS rainfall data, which makes this dataset of particular interest in the applied sciences community. SERVIR, a joint NASA-USAID initiative that promotes the use of Earth observations to improve environmental decision making in developing countries, is exploring the use of CHIRPS-GEFS in several applications throughout the network. Here, we present results from a joint SERVIR-CIMMYT effort that assesses the accuracy of CHIRPS-GEFS performance in Bangladesh in terms of seasonal precipitation, at various lead times as contrasted with ground observations, and for derived variables such as monsoon onset and dry spells during the rainy seasons. In addition, results are discussed in terms of potential applications to improve livelihoods and foster sustainable farming, including field decisions such as crop planting, irrigation scheduling and fertilizer applications.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.H53E..03L
- Keywords:
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- 1817 Extreme events;
- HYDROLOGYDE: 1855 Remote sensing;
- HYDROLOGYDE: 1880 Water management;
- HYDROLOGYDE: 1895 Instruments and techniques: monitoring;
- HYDROLOGY