Informing a hydrological model of the Ogooué with multi-mission remote sensing data

Kittel, Cecile M. M.; Nielsen, Karina; Tøttrup, Christian; Bauer-Gottwein, Peter

doi:https://doi.org/10.5194/hess-22-1453-2018

Articles | Volume 22, issue 2

https://doi.org/10.5194/hess-22-1453-2018

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

https://doi.org/10.5194/hess-22-1453-2018

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

Articles | Volume 22, issue 2

Research article

|

27 Feb 2018

Research article |

| 27 Feb 2018

Informing a hydrological model of the Ogooué with multi-mission remote sensing data

Cecile M. M. Kittel, Karina Nielsen, Christian Tøttrup, and Peter Bauer-Gottwein

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Final revised paper (published on 27 Feb 2018)
Preprint (discussion started on 12 Sep 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'reviewer comment', Anonymous Referee #1, 27 Sep 2017
- AC1: 'Response to the review of Anonymous Referee #1, posted 27/09/2017', Cécile Kittel, 16 Oct 2017
RC2: 'Review of "Informing a hydrological model of the Ogooué with multi-mission remote sensing data"', Anonymous Referee #2, 13 Oct 2017
- AC2: 'Response to the review of Anonymous Referee #2, posted 13/10/2017', Cécile Kittel, 16 Oct 2017
EC1: 'Editor comment', Bettina Schaefli, 15 Nov 2017

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (21 Dec 2017) by Bettina Schaefli

AR by Cécile Kittel on behalf of the Authors (17 Jan 2018) Author's response Manuscript

ED: Publish as is (18 Jan 2018) by Bettina Schaefli

Short summary

In this study, we integrate free, global Earth observations in a user-friendly and flexible model to reliably characterize an otherwise unmonitored river basin. The proposed model is the best baseline characterization of the Ogooué basin in light of available observations. Furthermore, the study shows the potential of using new, publicly available Earth observations and a suitable model structure to obtain new information in poorly monitored or remote areas and to support user requirements.