Event-scale power law recession analysis: quantifying methodological uncertainty

Dralle, David N.; Karst, Nathaniel J.; Charalampous, Kyriakos; Veenstra, Andrew; Thompson, Sally E.

doi:https://doi.org/10.5194/hess-21-65-2017

Articles | Volume 21, issue 1

https://doi.org/10.5194/hess-21-65-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-65-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 1

Research article

|

04 Jan 2017

Research article |

| 04 Jan 2017

Event-scale power law recession analysis: quantifying methodological uncertainty

David N. Dralle, Nathaniel J. Karst, Kyriakos Charalampous, Andrew Veenstra, and Sally E. Thompson

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Final revised paper (published on 04 Jan 2017)
Preprint (discussion started on 25 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Event-scale power law recession analysis: Quantifying methodological uncertainty', Anonymous Referee #1, 12 Sep 2016
- AC1: 'Response to reviewer 1', David Dralle, 07 Nov 2016
RC2: 'Review 2', Michael Stoelzle, 30 Sep 2016
- AC2: 'Reviewer 2 response', David Dralle, 07 Nov 2016

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (10 Nov 2016) by Jan Seibert

AR by David Dralle on behalf of the Authors (04 Dec 2016) Author's response Manuscript

ED: Publish subject to technical corrections (08 Dec 2016) by Jan Seibert

Short summary

The streamflow recession is the period following rainfall during which flow declines. This paper examines a common method of recession analysis and identifies sensitivity of the technique's results to necessary, yet subjective, methodological choices. The results have implications for hydrology, sediment and solute transport, and geomorphology, as well as for testing numerous hydrologic theories which predict the mathematical form of the recession.