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

Lee, Dongmin; Oreopoulos, Lazaros; Cho, Nayeong

doi:https://doi.org/10.5194/gmd-13-673-2020

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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Final revised paper (published on 21 Feb 2020)
Preprint (discussion started on 04 Sep 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 30 Oct 2019
- AC1: 'Reply to Anonymous Referee #1', Dongmin Lee, 18 Dec 2019
RC2: 'Referee Comment', Anonymous Referee #2, 04 Nov 2019
- AC2: 'Reply to Anonymous Referee #2', Dongmin Lee, 18 Dec 2019

Peer-review completion

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

AR by Dongmin Lee on behalf of the Authors (27 Jan 2020)

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.