Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 1
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

Viewed

Total article views: 1,749 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,095 590 64 1,749 238 89 72
  • HTML: 1,095
  • PDF: 590
  • XML: 64
  • Total: 1,749
  • Supplement: 238
  • BibTeX: 89
  • EndNote: 72
Views and downloads (calculated since 07 Jul 2020)
Cumulative views and downloads (calculated since 07 Jul 2020)

Viewed (geographical distribution)

Total article views: 1,749 (including HTML, PDF, and XML) Thereof 1,597 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 Sep 2024
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.
Read more