Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany

Ries, Fabian; Kirn, Lara; Weiler, Markus

doi:https://doi.org/10.5194/essd-12-245-2020

Articles | Volume 12, issue 1

https://doi.org/10.5194/essd-12-245-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-245-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Data description paper

|

06 Feb 2020

Data description paper |

| 06 Feb 2020

Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany

Fabian Ries, Lara Kirn, and Markus Weiler

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Final revised paper (published on 06 Feb 2020)
Preprint (discussion started on 15 Jul 2019)

Interactive discussion

Status: closed

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

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RC1: 'Reviewer comments: Runoff reaction from extreme rainfall events on natural hillslope', Anonymous Referee #1, 04 Sep 2019
- AC1: 'Reply to the comments of referee #1', Fabian Ries, 11 Nov 2019
RC2: 'Comments to "Runoff reaction from extreme rainfall events on natural hillslopes" by Ries et al.', Anonymous Referee #2, 23 Sep 2019
- AC2: 'Reply to the comments of referee #2', Fabian Ries, 11 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Fabian Ries on behalf of the Authors (07 Dec 2019) Author's response Manuscript

ED: Publish as is (06 Jan 2020) by Attila Demény

Short summary

Pluvial or flash floods generated by heavy precipitation events cause large economic damage and loss of life worldwide. As discharge observations from such extreme occurrences are rare, data from artificial sprinkling experiments offer valuable information on runoff generation processes, overland and subsurface flow rates, and response times. A extensive data set from 132 large-scale sprinkling experiments in Germany is described and presented in this paper.