GTS v1.0: a macrophysics scheme for climate models based on a probability density function

Shiu, Chein-Jung; Wang, Yi-Chi; Hsu, Huang-Hsiung; Chen, Wei-Ting; Pan, Hua-Lu; Sun, Ruiyu; Chen, Yi-Hsuan; Chen, Cheng-An

doi:https://doi.org/10.5194/gmd-14-177-2021

Articles | Volume 14, issue 1

https://doi.org/10.5194/gmd-14-177-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-177-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Development and technical paper

|

12 Jan 2021

Development and technical paper |

| 12 Jan 2021

GTS v1.0: a macrophysics scheme for climate models based on a probability density function

Chein-Jung Shiu, Yi-Chi Wang, Huang-Hsiung Hsu, Wei-Ting Chen, Hua-Lu Pan, Ruiyu Sun, Yi-Hsuan Chen, and Cheng-An Chen

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Final revised paper (published on 12 Jan 2021)
Supplement to the final revised paper
Preprint (discussion started on 07 Jul 2020)
Supplement to the preprint

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, 08 Sep 2020
RC2: 'Comment on “GTS v1.0: A Macrophysics Scheme for Climate Models Based on a Probability Density Function”', Anonymous Referee #2, 09 Sep 2020
AC1: 'Final Author Comments', Chein-Jung Shiu, 07 Oct 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Chein-Jung Shiu on behalf of the Authors (07 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (15 Oct 2020) by Tim Butler

RR by Anonymous Referee #2 (05 Nov 2020)

ED: Publish subject to minor revisions (review by editor) (09 Nov 2020) by Tim Butler

AR by Chein-Jung Shiu on behalf of the Authors (16 Nov 2020) Author's response Manuscript

ED: Publish as is (17 Nov 2020) by Tim Butler

Short summary

A cloud macrophysics scheme utilizing grid-mean hydrometeor information is developed and evaluated for climate models. The GFS–TaiESM–Sundqvist (GTS) scheme can simulate variations of cloud fraction associated with relative humidity (RH) in a more consistent way than the default scheme of CAM5.3. Through better cloud–RH distributions, the GTS scheme helps to better represent cloud fraction, cloud radiative forcing, and thermodynamic-related climatic fields in climate simulations.