Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3685-2018
https://doi.org/10.5194/hess-22-3685-2018
Research article
 | 
10 Jul 2018
Research article |  | 10 Jul 2018

Precipitation downscaling using a probability-matching approach and geostationary infrared data: an evaluation over six climate regions

Ruifang Guo, Yuanbo Liu, Han Zhou, and Yaqiao Zhu

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Latest update: 27 Mar 2024
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Short summary
Existing satellite products are often insufficient for use in small-scale (< 10 km) hydrological and meteorological studies. We propose a new approach based on the cumulative distribution of frequency to downscale satellite precipitation products with geostationary (GEO) data. This paper uses CMORPH and FY2-E GEO data to examine the approach in six different climate regions. The downscaled precipitation performed better for convective systems.