Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 5
Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 5
Model description paper
 | 
19 May 2021
Model description paper |  | 19 May 2021

SimCloud version 1.0: a simple diagnostic cloud scheme for idealized climate models

Qun Liu, Matthew Collins, Penelope Maher, Stephen I. Thomson, and Geoffrey K. Vallis

Supplement

https://doi.org/10.5194/gmd-14-2801-2021-supplement

Data sets

Outputs from Isca simulations with simple cloud scheme and SOCRATES radiation scheme Qun Liu, Matthew Collins, Penelope Maher, Stephen Thomson, and Geoffrey Vallis https://doi.org/10.5281/zenodo.4573610

Model code and software

SimCloud version 1.0 incorporated in Isca framework Qun Liu, Matthew Collins, Penelope Maher, Stephen Thomson, and Geoffrey Vallis https://doi.org/10.5281/zenodo.4382536

Scripts for Cloud Scheme Manuscript Figures (https://github.com/lqxyz/cloud_scheme_manuscript_figs) Qun Liu https://doi.org/10.5281/zenodo.4597263

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Short summary
Clouds play an vital role in Earth's energy budget, and even a small change in cloud fields can have a large impact on the climate system. They also bring lots of uncertainties to climate models. Here we implement a simple diagnostic cloud scheme in order to reproduce the general radiative properties of clouds. The scheme can capture some key features of the cloud fraction and cloud radiative properties and thus provide a useful tool to explore unsolved problems relating to clouds.
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