Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-673-2020
https://doi.org/10.5194/gmd-13-673-2020
Methods for assessment of models
 | 
21 Feb 2020
Methods for assessment of models |  | 21 Feb 2020

An evaluation of clouds and radiation in a large-scale atmospheric model using a cloud vertical structure classification

Dongmin Lee, Lazaros Oreopoulos, and Nayeong Cho

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dongmin Lee on behalf of the Authors (18 Dec 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Jan 2020) by Holger Tost
RR by Anonymous Referee #2 (25 Jan 2020)
ED: Publish as is (27 Jan 2020) by Holger Tost
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Short summary
We apply a cloud classification method based on cloud vertical structure (CVS) from active sensors to evaluate cloudiness in NASA’s GEOS-5 model. We assess the model CVS classes compared to observations and evaluate the simulated cloud radiative effect and its contributions. We apply an analysis framework whereby the source of the model radiative effect errors is traced back to either errors in the nature of the simulated CVS classes or in the frequency at which they are produced by the model.