Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed

Liu, Haifan; Dai, Heng; Niu, Jie; Hu, Bill X.; Gui, Dongwei; Qiu, Han; Ye, Ming; Chen, Xingyuan; Wu, Chuanhao; Zhang, Jin; Riley, William

doi:https://doi.org/10.5194/hess-24-4971-2020

Articles | Volume 24, issue 10

https://doi.org/10.5194/hess-24-4971-2020

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

https://doi.org/10.5194/hess-24-4971-2020

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

Articles | Volume 24, issue 10

Research article

|

23 Oct 2020

Research article |

| 23 Oct 2020

Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed

Haifan Liu, Heng Dai, Jie Niu, Bill X. Hu, Dongwei Gui, Han Qiu, Ming Ye, Xingyuan Chen, Chuanhao Wu, Jin Zhang, and William Riley

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Final revised paper (published on 23 Oct 2020)
Preprint (discussion started on 10 Mar 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'review comments', Anonymous Referee #1, 05 Apr 2020
- AC1: 'Responses to Referee #1', Heng Dai, 02 Jun 2020
RC2: 'Comments to "Hierarchical Sensitivity Analysis for Large-scale Process-based Hydrological Modeling with Application in an Amazonian Watershed" submitted to HESS.', Anonymous Referee #2, 14 Apr 2020
- AC2: 'Responses to Referee #2', Heng Dai, 02 Jun 2020
RC3: 'Anonymous review of hess-2020-87', Anonymous Referee #3, 03 May 2020
- AC3: 'Responses to Referee #3', Heng Dai, 02 Jun 2020
AC4: 'Summary of revisions for Editor', Heng Dai, 02 Jun 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) (03 Jun 2020) by Alberto Guadagnini

AR by Heng Dai on behalf of the Authors (30 Jul 2020) Manuscript

ED: Referee Nomination & Report Request started (13 Aug 2020) by Alberto Guadagnini

RR by Anonymous Referee #1 (15 Aug 2020)

RR by Anonymous Referee #2 (28 Aug 2020)

ED: Publish subject to technical corrections (28 Aug 2020) by Alberto Guadagnini

AR by Heng Dai on behalf of the Authors (04 Sep 2020) Manuscript

Short summary

It is still challenging to apply the quantitative and comprehensive global sensitivity analysis method to complex large-scale process-based hydrological models because of variant uncertainty sources and high computational cost. This work developed a new tool and demonstrate its implementation to a pilot example for comprehensive global sensitivity analysis of large-scale hydrological modelling. This method is mathematically rigorous and can be applied to other large-scale hydrological models.