Articles | Volume 23, issue 9
https://doi.org/10.5194/hess-23-3711-2019
https://doi.org/10.5194/hess-23-3711-2019
Research article
 | 
16 Sep 2019
Research article |  | 16 Sep 2019

Quantitative precipitation estimation with weather radar using a data- and information-based approach

Malte Neuper and Uwe Ehret

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (01 Jun 2019) by Alexander Gelfan
AR by Malte Neuper on behalf of the Authors (03 Jul 2019)  Author's response    Manuscript
ED: Publish as is (25 Jul 2019) by Alexander Gelfan
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Short summary
In this study, we apply a data-driven approach to quantitatively estimate precipitation using weather radar data. The method is based on information theory concepts. It uses predictive relations expressed by empirical discrete probability distributions, which are directly derived from data rather than the standard deterministic functions.