Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2287-2020
https://doi.org/10.5194/hess-24-2287-2020
Research article
 | 
08 May 2020
Research article |  | 08 May 2020

Conditional simulation of surface rainfall fields using modified phase annealing

Jieru Yan, András Bárdossy, Sebastian Hörning, and Tao Tao

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (09 Mar 2020) by Nadav Peleg
AR by Jieru Yan on behalf of the Authors (17 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Mar 2020) by Nadav Peleg
RR by Lionel Benoit (07 Apr 2020)
ED: Publish subject to technical corrections (07 Apr 2020) by Nadav Peleg
AR by Jieru Yan on behalf of the Authors (10 Apr 2020)  Author's response    Manuscript
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Short summary
For applications such as flood forecasting of urban- or town-scale distributed hydrological modeling, high-resolution quantitative precipitation estimation (QPE) with enough accuracy is the most important driving factor and thus the focus of this paper. Considering the fact that rain gauges are sparse but accurate and radar-based precipitation estimates are inaccurate but densely distributed, we are merging the two types of data intellectually to obtain accurate QPEs with high resolution.