Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 177–204, 2021
https://doi.org/10.5194/gmd-14-177-2021
Geosci. Model Dev., 14, 177–204, 2021
https://doi.org/10.5194/gmd-14-177-2021

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Download
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.