Comparison of the Vertical Distributions of Cloud Properties from Idealized Extratropical Deep Convection Simulations Using Various Horizontal Resolutions

被引:11
作者
Huang, Wei [1 ,2 ]
Bao, J-W [3 ]
Zhang, Xu [1 ,2 ]
Chen, Baode [1 ,2 ]
机构
[1] Shanghai Typhoon Inst, Shanghai, Peoples R China
[2] China Meteorol Adm, Key Lab Numer Modeling Trop Cyclone, Shanghai, Peoples R China
[3] NOAA, Earth Syst Res Lab, Boulder, CO USA
关键词
Cloud parameterizations; Convective parameterization; Large eddy simulations; Parameterization; Subgrid-scale processes; SHALLOW CUMULUS CONVECTION; LARGE-EDDY SIMULATION; MOIST CONVECTION; MASS-FLUX; PART II; STOCHASTIC PARAMETERIZATION; EXPLICIT FORECASTS; RESOLVING MODEL; BOUNDARY-LAYERS; WIND SHEAR;
D O I
10.1175/MWR-D-17-0162.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The authors coarse-grained and analyzed the output from a large-eddy simulation (LES) of an idealized extratropical supercell storm using the Weather Research and Forecasting (WRF) Model with various horizontal resolutions (200 m, 400 m, 1 km, and 3 km). The coarse-grained physical properties of the simulated convection were compared with explicit WRF simulations of the same storm at the same resolution of coarse-graining. The differences between the explicit simulations and the coarse-grained LES output increased as the horizontal grid spacing in the explicit simulation coarsened. The vertical transport of the moist static energy and total hydrometeor mixing ratio in the explicit simulations converged to the LES solution at the 200-m grid spacing. Based on the analysis of the coarse-grained subgrid vertical flux of the moist static energy, the authors confirmed that the nondimensional subgrid vertical flux of the moist static energy varied with the subgrid fractional cloudiness according to a function of fractional cloudiness, regardless of the box size. The subgrid mass flux could not account for most of the total subgrid vertical flux of the moist static energy because the eddy-transport component associated with the internal structural inhomogeneity of convective clouds was of a comparable magnitude. This study highlights the ongoing challenge in developing scale-aware parameterizations of subgrid convection.
引用
收藏
页码:833 / 851
页数:19
相关论文
共 56 条
[1]   Toward unification of the multiscale modeling of the atmosphere [J].
Arakawa, A. ;
Jung, J. -H. ;
Wu, C. -M. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (08) :3731-3742
[2]  
ARAKAWA A, 1974, J ATMOS SCI, V31, P674, DOI 10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO
[3]  
2
[4]   A Unified Representation of Deep Moist Convection in Numerical Modeling of the Atmosphere. Part I [J].
Arakawa, Akio ;
Wu, Chien-Ming .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2013, 70 (07) :1977-1992
[5]   Representing Equilibrium and Nonequilibrium Convection in Large-Scale Models [J].
Bechtold, Peter ;
Semane, Noureddine ;
Lopez, Philippe ;
Chaboureau, Jean-Pierre ;
Beljaars, Anton ;
Bormann, Niels .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2014, 71 (02) :734-753
[6]  
Bryan G.H., 2005, P 11 C MES PROC ALB, VVolume 1
[7]  
Bryan GH, 2003, MON WEATHER REV, V131, P2394, DOI 10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO
[8]  
2
[9]   Convectively Induced Secondary Circulations in Fine-Grid Mesoscale Numerical Weather Prediction Models [J].
Ching, J. ;
Rotunno, R. ;
LeMone, M. ;
Martilli, A. ;
Kosovic, B. ;
Jimenez, P. A. ;
Dudhia, J. .
MONTHLY WEATHER REVIEW, 2014, 142 (09) :3284-3302
[10]   Stochastic parameterization of shallow cumulus convection estimated from high-resolution model data [J].
Dorrestijn, Jesse ;
Crommelin, Daan T. ;
Siebesma, A. Pier ;
Jonker, Harm J. J. .
THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS, 2013, 27 (1-2) :133-148