Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2851-2020
https://doi.org/10.5194/gmd-13-2851-2020
Model evaluation paper
 | 
29 Jun 2020
Model evaluation paper |  | 29 Jun 2020

Impact of scale-aware deep convection on the cloud liquid and ice water paths and precipitation using the Model for Prediction Across Scales (MPAS-v5.2)

Laura D. Fowler, Mary C. Barth, and Kiran Alapaty

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Interactive discussion

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
AR by Laura Fowler on behalf of the Authors (28 Feb 2020)  Manuscript 
ED: Referee Nomination & Report Request started (19 Mar 2020) by Paul Ullrich
RR by Anonymous Referee #1 (21 Mar 2020)
RR by Anonymous Referee #2 (09 Apr 2020)
ED: Publish subject to minor revisions (review by editor) (09 Apr 2020) by Paul Ullrich
AR by Laura Fowler on behalf of the Authors (22 Apr 2020)
ED: Publish as is (02 May 2020) by Paul Ullrich
AR by Laura Fowler on behalf of the Authors (08 May 2020)  Manuscript 
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Short summary
The cloud liquid and ice water path and precipitation simulated with the Model for Prediction Across Scales are compared against satellite data over the tropical Pacific Ocean. Uniform and variable-resolution experiments using scale-aware convection schemes produce strong biases between simulated and observed diagnostics. Results underscore the importance of evaluating clouds, their optical properties, and radiation budget in addition to precipitation in mesh refinement global simulations.