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.

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

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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.