Articles | Volume 16, issue 7
https://doi.org/10.5194/gmd-16-1909-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1909-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
06 Apr 2023
Development and technical paper |
| 06 Apr 2023
| 06 Apr 2023
Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach
Maria J. Chinita
CORRESPONDING AUTHOR
Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles,
Los Angeles, California, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Mikael Witte
Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles,
Los Angeles, California, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Department of Meteorology, Naval Postgraduate School, Monterey, California, USA
Marcin J. Kurowski
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Joao Teixeira
Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles,
Los Angeles, California, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Kay Suselj
Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles,
Los Angeles, California, USA
Running Tide Technologies, Inc., Portland, Maine, USA
Georgios Matheou
Department of Mechanical Engineering, University of Connecticut, Storrs, Connecticut, USA
Peter Bogenschutz
Lawrence Livermore National Laboratory, Livermore, California, USA
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Short summary
Low clouds are one of the largest sources of uncertainty in climate prediction. In this paper, we introduce the first version of the unified turbulence and shallow convection parameterization named SHOC+MF developed to improve the representation of shallow cumulus clouds in the Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM). Here, we also show promising preliminary results in a single-column model framework for two benchmark cases of shallow cumulus convection.
Low clouds are one of the largest sources of uncertainty in climate prediction. In this paper,...
