Data assimilation impact studies with the AROME-WMED  reanalysis of the first special observation period of the  Hydrological cycle in the Mediterranean Experiment

Fourrié, Nadia; Nuret, Mathieu; Brousseau, Pierre; Caumont, Olivier

doi:https://doi.org/10.5194/nhess-21-463-2021

Articles | Volume 21, issue 1

https://doi.org/10.5194/nhess-21-463-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Hydrological cycle in the Mediterranean (ACP/AMT/GMD/HESS/NHESS/OS...

https://doi.org/10.5194/nhess-21-463-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 1

Research article

|

01 Feb 2021

Research article |

| 01 Feb 2021

Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment

Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, and Olivier Caumont

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Final revised paper (published on 01 Feb 2021)
Supplement to the final revised paper
Preprint (discussion started on 25 May 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of the paper.', Anonymous Referee #1, 18 Jun 2020
- AC1: 'Reply to Referee 1', Nadia Fourrié, 18 Sep 2020
RC2: 'Review to Data impact studies with the AROME WMED reanalysis of the HyMeX SOP1', Anonymous Referee #2, 26 Jun 2020
- AC2: 'Reply to Referee 2', Nadia Fourrié, 18 Sep 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) (26 Sep 2020) by Eric Martin

AR by Anna Mirena Feist-Polner on behalf of the Authors (05 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (11 Oct 2020) by Eric Martin

RR by Anonymous Referee #2 (22 Oct 2020)

ED: Publish subject to minor revisions (review by editor) (03 Nov 2020) by Eric Martin

AR by Nadia Fourrié on behalf of the Authors (12 Nov 2020) Author's response Manuscript

ED: Publish as is (05 Dec 2020) by Eric Martin

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Short summary

The assimilation impact of four observation data sets on forecasts is studied in a mesoscale weather model. The ground-based Global Navigation Satellite System (GNSS) zenithal total delay data set with information on humidity has the largest impact on analyses and forecasts, representing an evenly spread and frequent data set for each analysis time over the model domain. Moreover, the reprocessing of these data also improves the forecast quality, but this impact is not statistically significant.