A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis

Pham, Minh Tu; Vernieuwe, Hilde; De Baets, Bernard; Verhoest, Niko E. C.

doi:https://doi.org/10.5194/hess-22-1263-2018

Articles | Volume 22, issue 2

https://doi.org/10.5194/hess-22-1263-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-22-1263-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 22, issue 2

Research article

|

20 Feb 2018

Research article |

| 20 Feb 2018

A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis

Minh Tu Pham, Hilde Vernieuwe, Bernard De Baets, and Niko E. C. Verhoest

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Final revised paper (published on 20 Feb 2018)
Preprint (discussion started on 23 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comment on ``A coupled stochastic rainfall-evapotranspiration model for hydrological impact analysis'' by Minh Tu Pham et al.', Thomas Nagler, 16 Jun 2017
RC2: 'Review comments on “A coupled stochastic rainfall-evapotranspiration model for hydrological impact analysis” by Pham et al. 2017 submitted to HESSD', Mojtaba Sadegh, 13 Jul 2017
AC1: 'Answers to the comments of both reviewers', hilde Vernieuwe, 11 Sep 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by Editor and Referees) (12 Oct 2017) by Carlo De Michele

AR by hilde Vernieuwe on behalf of the Authors (21 Nov 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (20 Dec 2017) by Carlo De Michele

RR by Thomas Nagler (03 Jan 2018)

RR by Mojtaba Sadegh (06 Jan 2018)

ED: Publish as is (12 Jan 2018) by Carlo De Michele

AR by hilde Vernieuwe on behalf of the Authors (15 Jan 2018) Manuscript

Short summary

In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Still, the developed model has great potential for hydrological impact analysis.