Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2419-2020
https://doi.org/10.5194/hess-24-2419-2020
Research article
 | 
12 May 2020
Research article |  | 12 May 2020

Tracking the global flows of atmospheric moisture and associated uncertainties

Obbe A. Tuinenburg and Arie Staal

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Status: closed
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: Publish subject to revisions (further review by editor and referees) (11 Feb 2020) by Louise Slater
AR by Obbe Tuinenburg on behalf of the Authors (11 Feb 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (14 Feb 2020) by Louise Slater
RR by Munir Ahmad Nayak (29 Feb 2020)
RR by Anonymous Referee #2 (16 Mar 2020)
ED: Publish subject to minor revisions (review by editor) (17 Mar 2020) by Louise Slater
AR by Obbe Tuinenburg on behalf of the Authors (20 Mar 2020)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (06 Apr 2020) by Louise Slater
AR by Obbe Tuinenburg on behalf of the Authors (06 Apr 2020)  Author's response   Manuscript 
ED: Publish as is (08 Apr 2020) by Louise Slater
AR by Obbe Tuinenburg on behalf of the Authors (15 Apr 2020)  Manuscript 
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Short summary
Several models exist to track water through the atmosphere from its evaporation location to the next rain location. These models are typically driven by atmospheric wind and humidity data. Recently, a new version of these driving data sets has become available, with a higher spatial resolution of about 25 km. Here, we test the assumptions of these atmospheric moisture tracking models, given the high-resolution forcing data and find that the vertical mixing assumptions are the most important.