Downsizing parameter ensembles for simulations of rare floods

Sikorska-Senoner, Anna E.; Schaefli, Bettina; Seibert, Jan

doi:https://doi.org/10.5194/nhess-20-3521-2020

Articles | Volume 20, issue 12

https://doi.org/10.5194/nhess-20-3521-2020

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

https://doi.org/10.5194/nhess-20-3521-2020

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

Articles | Volume 20, issue 12

Research article

| Highlight paper

|

17 Dec 2020

Research article | Highlight paper |

| 17 Dec 2020

Downsizing parameter ensembles for simulations of rare floods

Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert

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Final revised paper (published on 17 Dec 2020)
Preprint (discussion started on 26 Mar 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee Report of « Downsizing parameter ensembles for simulations of extreme floods» (NHESS-2020-79)', Anonymous Referee #1, 01 May 2020
- AC2: 'Response to Referee #1', Anna E. Sikorska-Senoner, 02 Sep 2020
RC2: 'revision', Anonymous Referee #2, 08 Jun 2020
- AC1: 'Response to Referee #2', Anna E. Sikorska-Senoner, 01 Sep 2020

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (05 Sep 2020) by Paolo Tarolli

AR by Anna Sikorska-Senoner on behalf of the Authors (08 Sep 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (19 Sep 2020) by Paolo Tarolli

RR by Anonymous Referee #2 (28 Sep 2020)

RR by Emmanuel Paquet (05 Nov 2020)

ED: Publish as is (10 Nov 2020) by Paolo Tarolli

AR by Anna Sikorska-Senoner on behalf of the Authors (10 Nov 2020)

Short summary

This work proposes methods for reducing the computational requirements of hydrological simulations for the estimation of very rare floods that occur on average less than once in 1000 years. These methods enable the analysis of long streamflow time series (here for example 10 000 years) at low computational costs and with modelling uncertainty. They are to be used within continuous simulation frameworks with long input time series and are readily transferable to similar simulation tasks.