Articles | Volume 26, issue 9
Hydrol. Earth Syst. Sci., 26, 2365–2386, 2022
https://doi.org/10.5194/hess-26-2365-2022
Hydrol. Earth Syst. Sci., 26, 2365–2386, 2022
https://doi.org/10.5194/hess-26-2365-2022
Research article
06 May 2022
Research article | 06 May 2022

Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco

Wanshu Nie et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-263', Anonymous Referee #1, 16 Jun 2021
  • RC2: 'Comment on hess-2021-263', Claire Michailovsky, 30 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (10 Nov 2021) by Narendra Das
AR by Wanshu Nie on behalf of the Authors (09 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (17 Jan 2022) by Narendra Das
RR by Anonymous Referee #3 (23 Feb 2022)
ED: Publish subject to revisions (further review by editor and referees) (11 Mar 2022) by Narendra Das
AR by Wanshu Nie on behalf of the Authors (21 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Apr 2022) by Narendra Das
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Short summary
The MENA (Middle East and North Africa) region faces significant food and water insecurity and hydrological hazards. Here we investigate the value of assimilating remote sensing data sets into an Earth system model to help build an effective drought monitoring system and support risk mitigation and management by countries in the region. We highlight incorporating satellite-informed vegetation conditions into the model as being one of the key processes for a successful application for the region.