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

Supplement

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

Model code and software

rceclccr/TaiESM v1.0.0 (Version v1.0.0) W.-L. Lee, Y.-C. Wang, C.-J. Shiu, I. Tsai, C.-Y. Tu, Y.-Y. Lan, J.-P. Chen, H.-L. Pan, and H.-H. Hsu https://doi.org/10.5281/zenodo.3626654

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.