Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-2863-2019
https://doi.org/10.5194/hess-23-2863-2019
Research article
 | 
08 Jul 2019
Research article |  | 08 Jul 2019

Assessment of spatial uncertainty of heavy rainfall at catchment scale using a dense gauge network

Sungmin O and Ulrich Foelsche

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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) (02 Feb 2019) by Nadav Peleg
AR by Sungmin O on behalf of the Authors (03 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Mar 2019) by Nadav Peleg
RR by Anonymous Referee #2 (21 Mar 2019)
RR by Anonymous Referee #1 (28 Mar 2019)
ED: Reconsider after major revisions (further review by editor and referees) (12 Apr 2019) by Nadav Peleg
AR by Sungmin O on behalf of the Authors (24 May 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by editor) (03 Jun 2019) by Nadav Peleg
AR by Sungmin O on behalf of the Authors (13 Jun 2019)  Author's response    Manuscript
ED: Publish as is (14 Jun 2019) by Nadav Peleg
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Short summary
We analyze heavy local rainfall to address questions regarding the spatial uncertainty due to the approximation of areal rainfall using point measurements. Ten years of rainfall data from a dense network of 150 rain gauges in southeastern Austria are employed, which permits robust examination of small-scale rainfall at various horizontal resolutions. Quantitative uncertainty information from the study can guide both data users and producers to estimate uncertainty in their own rainfall dataset.