Ensemble modeling of stochastic unsteady open-channel flow in terms of its 
time–space evolutionary probability distribution – Part 2: numerical application

Dib, Alain; Kavvas, M. Levent

doi:https://doi.org/10.5194/hess-22-2007-2018

Articles | Volume 22, issue 3

https://doi.org/10.5194/hess-22-2007-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-2007-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 3

Research article

|

28 Mar 2018

Research article |

| 28 Mar 2018

Ensemble modeling of stochastic unsteady open-channel flow in terms of its time–space evolutionary probability distribution – Part 2: numerical application

Alain Dib and M. Levent Kavvas

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Final revised paper (published on 28 Mar 2018)
Preprint (discussion started on 09 Aug 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comment', Anonymous Referee #1, 31 Aug 2017
- AC1: 'Response to Anonymous Referee #1', Alain Dib, 01 Feb 2018
SC1: 'Example of application of the Fokker-Planck equation', Alberto Bellin, 12 Sep 2017
- AC3: 'Response to Short Comment by Dr. Alberto Bellin', Alain Dib, 01 Feb 2018
RC2: 'Interactive comment on “Ensemble modeling of stochastic unsteady open-channel flow in terms of its time-space evolutionary probability distribution: numerical application” by Alain Dib and M. Levent Kavvas', Anonymous Referee #2, 05 Jan 2018
- AC2: 'Response to Anonymous Referee #2', Alain Dib, 01 Feb 2018

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 2018) by Sabine Attinger

AR by Alain Dib on behalf of the Authors (07 Feb 2018) Author's response Manuscript

ED: Publish as is (05 Mar 2018) by Sabine Attinger

Short summary

A newly proposed method is applied to solve a stochastic unsteady open-channel flow system (with an uncertain roughness coefficient) in only one simulation. After comparing its results to those of the Monte Carlo simulations, the new method was found to adequately predict the temporal and spatial evolution of the probability density of the flow variables of the system. This revealed the effectiveness, strength, and time efficiency of this new method as compared to other popular approaches.