Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 2
Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-673-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-673-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 2
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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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.
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