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


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 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.