Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.883 IF 2.883
  • IF 5-year value: 3.321 IF 5-year
    3.321
  • CiteScore value: 3.07 CiteScore
    3.07
  • SNIP value: 1.336 SNIP 1.336
  • IPP value: 2.80 IPP 2.80
  • SJR value: 1.024 SJR 1.024
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 81 Scimago H
    index 81
  • h5-index value: 43 h5-index 43
NHESS | Articles | Volume 19, issue 6
Nat. Hazards Earth Syst. Sci., 19, 1129–1149, 2019
https://doi.org/10.5194/nhess-19-1129-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 19, 1129–1149, 2019
https://doi.org/10.5194/nhess-19-1129-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 Jun 2019

Research article | 13 Jun 2019

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

Youssef Wehbe et al.
Download
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
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
Publications Copernicus
Download
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.
The work addresses the need for reliable precipitation forecasts in hyper-arid environments...
Citation