Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2753-2020
https://doi.org/10.5194/nhess-20-2753-2020
Research article
 | 
21 Oct 2020
Research article |  | 21 Oct 2020

Assessing atmospheric moisture effects on heavy precipitation during HyMeX IOP16 using GPS nudging and dynamical downscaling

Alberto Caldas-Alvarez and Samiro Khodayar

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (06 Apr 2020) by Véronique Ducrocq
AR by Alberto Caldas-Alvarez on behalf of the Authors (08 May 2020)  Manuscript 
ED: Referee Nomination & Report Request started (26 Jun 2020) by Véronique Ducrocq
RR by Anonymous Referee #1 (10 Jul 2020)
RR by Anonymous Referee #2 (18 Jul 2020)
ED: Publish subject to minor revisions (review by editor) (18 Jul 2020) by Véronique Ducrocq
AR by Alberto Caldas-Alvarez on behalf of the Authors (29 Jul 2020)  Author's response   Manuscript 
ED: Publish subject to technical corrections (27 Aug 2020) by Véronique Ducrocq
AR by Alberto Caldas-Alvarez on behalf of the Authors (01 Sep 2020)  Author's response   Manuscript 
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Short summary
Heavy precipitation causes serious losses and several casualties in the western Mediterranean every year. To predict this phenomenon better, we aim at understanding how the models represent the interaction between atmospheric moisture and precipitation by nudging a 10 min, state-of-the-art GPS data set. We found, for the selected case in autumn 2012, that the improvement in the modelling of precipitation stems from relevant variations of atmospheric instability and humidity above 1.5 km.
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