Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations

Xiaogang He
Xiaogang He
Dongjing Yao
Dongjing Yao
Yu Chen
Yu Chen

IEEE Geoscience and Remote Sensing Letters, pp. 1678-1682, 2019.

Cited by: 1|Bibtex|Views7|DOI:https://doi.org/10.1109/LGRS.2019.2907532
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

A clear bias exists in the widely used gridded precipitation products (GPPs) that result from factors about topography, climate, and retrieval algorithms. Many existing optimization works have a deficiency in validation and domain sizes, which makes the evaluation and corrections of the Climate Hazards group InfraRed Precipitation with St...More

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