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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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (06 Jun 2018) by Matthias Bernhardt
AR by Ruifang Guo on behalf of the Authors (08 Jun 2018)  Author's response    Manuscript
ED: Publish as is (25 Jun 2018) by Matthias Bernhardt
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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.