Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: The Impacts of Closure Assumption and Process Coupling

Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: The Impacts of Closure Assumption and Process Coupling

Abstract Convergence testing is a common practice in the development of dynamical cores of atmospheric models but is not as often exercised for the parameterization of subgrid physics. An earlier study revealed that the stratiform cloud parameterizations in several predecessors of the Energy Exascal...

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Bibliographic Details
Main Authors: Hui Wan, Carol S. Woodward, Shixuan Zhang, Christopher J. Vogl, Panos Stinis, David J. Gardner, Philip J. Rasch, Xubin Zeng, Vincent E. Larson, Balwinder Singh
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-10-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
atmospheric model
time stepping
convergence
parameterization
Online Access:https://doi.org/10.1029/2019MS001982

Internet

https://doi.org/10.1029/2019MS001982

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