Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data

Wehbe, Youssef; Temimi, Marouane; Weston, Michael; Chaouch, Naira; Branch, Oliver; Schwitalla, Thomas; Wulfmeyer, Volker; Zhan, Xiwu; Liu, Jicheng; Al Mandous, Abdulla

doi:https://doi.org/10.5194/nhess-19-1129-2019

Articles | Volume 19, issue 6

https://doi.org/10.5194/nhess-19-1129-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-19-1129-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 6

Research article

| Highlight paper

|

13 Jun 2019

Research article | Highlight paper |

| 13 Jun 2019

Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data

Youssef Wehbe, Marouane Temimi, Michael Weston, Naira Chaouch, Oliver Branch, Thomas Schwitalla, Volker Wulfmeyer, Xiwu Zhan, Jicheng Liu, and Abdulla Al Mandous

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Final revised paper (published on 13 Jun 2019)
Preprint (discussion started on 11 Sep 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Nir Krakauer, 04 Oct 2018
- AC1: 'Author's Response to Reviewer 1', Youssef Wehbe, 17 Apr 2019
RC2: 'Comment on “Analysis of an Extreme Weather 5 Event in a Hyper Arid Region Using WRF-Hydro Coupling, Station, and Satellite data”', Anonymous Referee #2, 25 Mar 2019
- AC2: 'Author's Response to Reviewer 2', Youssef Wehbe, 17 Apr 2019

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (29 Apr 2019) by Gregor C. Leckebusch

AR by Youssef Wehbe on behalf of the Authors (05 May 2019) Author's response Manuscript

ED: Publish as is (13 May 2019) by Gregor C. Leckebusch

AR by Youssef Wehbe on behalf of the Authors (13 May 2019) Manuscript

Short summary

The work addresses the need for reliable precipitation forecasts in hyper-arid environments through state-of-the-art hydro-meteorological modeling. Accounting for land–atmosphere interactions in the applied model is shown to improve the accuracy of precipitation output. The chain of events controlling the soil moisture–precipitation feedback are diagnosed and verified by in situ observations and satellite data.