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

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

doi:https://doi.org/10.5194/hess-22-3685-2018

Articles | Volume 22, issue 7

https://doi.org/10.5194/hess-22-3685-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-3685-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 7

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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Final revised paper (published on 10 Jul 2018)
Preprint (discussion started on 08 Nov 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review comments', Anonymous Referee #1, 13 Dec 2017
- AC1: 'Response to Reviewer #1 comments', Ruifang Guo, 21 Apr 2018
- AC3: 'the final revised paper', Ruifang Guo, 21 Apr 2018
RC2: 'Interactive comment on “Precipitation downscaling using a probability-matching approach and geostationary infrared data: An evaluation over six climate regions” by Ruifang Guo et al.', Anonymous Referee #2, 30 Mar 2018
- AC2: 'Response to Reviewer #2 comments', Ruifang Guo, 21 Apr 2018
- AC4: 'the final revised paper', Ruifang Guo, 21 Apr 2018

Peer-review completion

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

AR by Ruifang Guo on behalf of the Authors (26 Jun 2018)

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.