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date accessioned2022-05-09T00:59:46Z
date available2022-05-09T00:59:46Z
date copyright10 Jan 2022
date issued2022
identifier otherJAS-D-21-0131.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286046
description abstractIn this study, we introduce a parameterization scheme for slantwise convection (SC) to be considered for models that are too coarse to resolve slantwise convection explicitly (with a horizontal grid spacing coarser than 15 km or less). This SC scheme operates in a locally defined 2D cross section perpendicular to the deep-layer-averaged thermal wind. It applies momentum tendency to adjust the environment toward slantwise neutrality with a prescribed adjustment time scale. Condensational heating and the associated moisture loss are also considered. To evaluate the added value of the SC scheme, we implement it in the Weather Research and Forecasting (WRF) Model to supplement the existing cumulus parameterization schemes for upright convection and test for two different numerical setups: a 2D idealized, unforced release of conditional symmetric instability (CSI) in an initially conditionally stable environment, and a 3D real-data precipitation event containing both CSI and conditional instability along the cold front of a cyclonic storm near the United Kingdom. Both test cases show significant improvements for the coarse-gridded (40-km) simulations when parameterizing slantwise convection. Compared to the 40-km simulations with only the upright convection scheme, the counterparts with the additional SC scheme exhibit a larger extent of CSI neutralization, generate a stronger grid-resolved slantwise circulation, and produce greater amounts of precipitation, all in better agreement with the corresponding fine-gridded reference simulations. Given the importance of slantwise convection in midlatitude weather systems, our results suggest that there exist potential benefits of parameterizing slantwise convection in general circulation models.
titleA Parameterization of Slantwise Convection in the WRF Model
typeJournal Paper
journal volume79
journal issue1
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-D-21-0131.1
page227–245
treeJournal of the Atmospheric Sciences:;2022:;volume( 079 ):;issue: 001
contenttypeFulltext


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