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| Poster Title | Towards numerically robust representation of sub-grid processes: improving solution accuracy and convergence for physics parameterizations |
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| Authors | Hui Wan, Carol Woodward (Unlicensed), Michael Brunke, David Gardner (Unlicensed), Vince Larson, Huan Lei (Unlicensed), Jing Li (Unlicensed), Phil Rasch (pnl.gov), Balwinder Singh, Jeremy Sousa (Unlicensed), Panos Stinis (Unlicensed), Chris Vogl (Unlicensed), Xubin Zeng, Shixuan Zhang |
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| First Author | Hui Wan |
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| Session Type | E3SM session |
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| Session ID | E8 |
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| Submission Type | Presentation |
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| Group | Atmosphere |
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| Poster Link | | View file |
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| name | Wan_SciDAC_AtmPhysics.pptx |
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| height | 250 |
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Abstract
The development of atmospheric physics parameterizations traditionally focuses on the conceptualization of physical understanding and the handling of spatial scales. When it comes to the choices of time integration methods, the main considerations are usually the requirement of numerical stability and the limitations in computational resources. This presentation will introduce a SciDAC project that attempts to develop systematic methods to evaluate and improve the accuracy of time integration in E3SM's atmospheric physics parameterizations.
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