contributor author | Zhang, Xu | |
contributor author | Bao, Jian-Wen | |
contributor author | Chen, Baode | |
contributor author | Grell, Evelyn D. | |
date accessioned | 2019-09-19T10:04:41Z | |
date available | 2019-09-19T10:04:41Z | |
date copyright | 5/17/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | mwr-d-17-0356.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261272 | |
description abstract | AbstractA 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. | |
publisher | American Meteorological Society | |
title | A Three-Dimensional Scale-Adaptive Turbulent Kinetic Energy Scheme in the WRF-ARW Model | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 7 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-17-0356.1 | |
journal fristpage | 2023 | |
journal lastpage | 2045 | |
tree | Monthly Weather Review:;2018:;volume 146:;issue 007 | |
contenttype | Fulltext | |