Articles | Volume 25, issue 2
Hydrol. Earth Syst. Sci., 25, 583–601, 2021
https://doi.org/10.5194/hess-25-583-2021
Hydrol. Earth Syst. Sci., 25, 583–601, 2021
https://doi.org/10.5194/hess-25-583-2021

Research article 10 Feb 2021

Research article | 10 Feb 2021

The use of personal weather station observations to improve precipitation estimation and interpolation

András Bárdossy et al.

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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) (15 Apr 2020) by Marie-Claire ten Veldhuis
AR by Jochen Seidel on behalf of the Authors (01 Jul 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Jul 2020) by Marie-Claire ten Veldhuis
RR by Nadav Peleg (07 Jul 2020)
RR by Marc Schleiss (03 Aug 2020)
ED: Publish subject to revisions (further review by editor and referees) (12 Aug 2020) by Marie-Claire ten Veldhuis
AR by Anna Wenzel on behalf of the Authors (02 Oct 2020)  Author's response
ED: Referee Nomination & Report Request started (27 Oct 2020) by Marie-Claire ten Veldhuis
RR by Marc Schleiss (24 Nov 2020)
ED: Publish subject to minor revisions (review by editor) (25 Nov 2020) by Marie-Claire ten Veldhuis
AR by Jochen Seidel on behalf of the Authors (04 Dec 2020)  Author's response    Manuscript
ED: Publish as is (23 Dec 2020) by Marie-Claire ten Veldhuis
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Short summary
In this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.