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A Two-Column Model Parameterization for Subgrid Surface Heterogeneity Driven Circulations
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  • Tyler Waterman,
  • Andrew D. Bragg,
  • Finley Miles Hay-Chapman,
  • Paul A Dirmeyer,
  • Megan Fowler,
  • Jason Scot Simon,
  • Nathaniel W. Chaney
Tyler Waterman
Duke University Civil and Environmental Engineering

Corresponding Author:[email protected]

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Andrew D. Bragg
Duke University
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Finley Miles Hay-Chapman
George Mason University
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Paul A Dirmeyer
George Mason University
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Megan Fowler
National Center for Atmospheric Research
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Jason Scot Simon
Saint Augustine's University
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Nathaniel W. Chaney
Duke University
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Abstract

Earth system models currently struggle to account for the complex effects that land surface heterogeneity can have on land-atmosphere interactions. Subgrid land surface heterogeneity is currently not well accounted for in land-atmosphere interactions in earth system models. There have been attempts to include the impact of this heterogeneity on the atmosphere, but they ignore the development of coherent secondary circulations that can be driven by spatial differential surface heating. A wealth of literature, particularly large-eddy simulation (LES) based studies, shows that these circulations have significant impacts on the development and organization of clouds. In this work, we describe a two-column model with a parameterized circulation driven by atmospheric virtual potential temperature profiles, differences in near surface temperature between the two columns, patterns of surface heterogeneity, and the mean background wind. Key aspects of the proposed model structure are compared with LES output, and the model is then implemented between two otherwise independent single column models. While some avenues for improvement exist, when the circulations are parameterized, we see increased cloud development and realistic changes to the mean profiles of temperature and moisture. The proposed model qualitatively matches expectations from the literature and LES, and points to the potential success of its future implementation in coarse grid models.
24 Jul 2023Submitted to ESS Open Archive
04 Aug 2023Published in ESS Open Archive