Multi-fluids for representing sub-grid-scale convection

Weller, H. ORCID: https://orcid.org/0000-0003-4553-7082, McIntyre, W. ORCID: https://orcid.org/0000-0002-2715-9842 and Shipley, D. ORCID: https://orcid.org/0000-0002-7812-8309 (2020) Multi-fluids for representing sub-grid-scale convection. Journal of Advances in Modeling Earth Systems, 12 (8). e2019MS001966. ISSN 1942-2466 doi: 10.1029/2019MS001966

Abstract/Summary

Traditional parameterizations of convection are a large source of error in weather and climate prediction models and the assumptions behind them become worse as resolution increases. Multifluid modeling is a promising new method of representing sub- and near-grid-scale convection allowing for net mass transport by convection and non-equilibrium dynamics. The air is partitioned into two or more fluids which may represent, for example, updrafts and the nonupdraft environment. Each fluid has its own velocity, temperature and constituents with separate equations of motion. This paper presents two-fluid Boussinesq equations for representing sub-grid-scale dry convection with sinking and w = 0 air in fluid 0 and rising air in fluid 1. Two vertical slice test cases are developed to tune parameters and to evaluate the two-fluid equations: a buoyant rising bubble and radiative convective equilibrium. These are first simulated at high resolution with a single-fluid model and conditionally averaged based on the sign of the vertical velocity. The test cases are next simulated with the two-fluid model in one column. A model for entrainment and detrainment based on divergence leads to excellent representation of the convective area fraction. Previous multi-fluid modeling of convection has used the same pressure for both fluids. This is shown to be a bad approximation and a model for the pressure difference between the fluids based on divergence is presented.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/92358
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	American Geophysical Union
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