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contributor authorZhang, Xu
contributor authorBao, Jian-Wen
contributor authorChen, Baode
contributor authorGrell, Evelyn D.
date accessioned2019-09-19T10:04:41Z
date available2019-09-19T10:04:41Z
date copyright5/17/2018 12:00:00 AM
date issued2018
identifier othermwr-d-17-0356.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261272
description abstractAbstractA new three-dimensional (3D) turbulent kinetic energy (TKE) subgrid mixing scheme is developed using the Advanced Research version of the Weather Research and Forecasting (WRF) Model (WRF-ARW) to address the gray-zone problem in the parameterization of subgrid turbulent mixing. The new scheme combines the horizontal and vertical subgrid turbulent mixing into a single energetically consistent framework, in contrast to the conventionally separate treatment of the vertical and horizontal mixing. The new scheme is self-adaptive to the grid-size change between the large-eddy simulation (LES) and mesoscale limits. A series of dry convective boundary layer (CBL) idealized simulations are carried out to compare the performance of the new scheme and the conventional treatment of subgrid mixing to the WRF-ARW LES dataset. The importance of including the nonlocal component in the vertical buoyancy specification in the newly developed general TKE-based scheme is illustrated in the comparison. The improvements of the new scheme with the conventional treatment of subgrid mixing across the gray-zone model resolutions are demonstrated through the partitioning of the total vertical flux profiles. Results from real-case simulations show the feasibility of using the new scheme in the WRF Model in lieu of the conventional treatment of subgrid mixing.
publisherAmerican Meteorological Society
titleA Three-Dimensional Scale-Adaptive Turbulent Kinetic Energy Scheme in the WRF-ARW Model
typeJournal Paper
journal volume146
journal issue7
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-17-0356.1
journal fristpage2023
journal lastpage2045
treeMonthly Weather Review:;2018:;volume 146:;issue 007
contenttypeFulltext


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