A Mixed Scheme for Subgrid-Scale Fluxes in Cloud-Resolving Models

被引:49
|
作者
Moeng, C-H [1 ]
Sullivan, P. P.
Khairoutdinov, M. F. [2 ]
Randall, D. A. [3 ]
机构
[1] Natl Ctr Atmospher Res, MMM Div, Boulder, CO 80307 USA
[2] SUNY Stony Brook, Stony Brook, NY 11794 USA
[3] Colorado State Univ, Ft Collins, CO 80523 USA
基金
美国国家科学基金会;
关键词
LARGE-EDDY SIMULATION; ATMOSPHERIC SURFACE-LAYER; TURBULENCE MODELS; FLOWS; HATS;
D O I
10.1175/2010JAS3565.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A large domain large eddy simulation of a tropical deep convection system is used as a benchmark to derive and test a mixed subgrid scale (SGS) scheme for scalar and momentum fluxes in cloud resolving models (CRMs) The benchmark simulation resolves a broad range of scales ranging from mesoscale organisations through gravity waves and individual clouds down to energy containing turbulent eddies A spectral analysis shows that the vertical velocity kinetic energy peaks at scales from hundreds of meters in the lower cloud layer to several kilometers higher up these scales ire typical grid sizes of today s CRMs The analysis also shows that a significant portion of the scalar and momentum fluxes in the benchmark simulation are carried by motions smaller than several kilometers (i e smaller than a typical grid resolution of CRMs) The broad range of scales of the benchmark simulation is split into two components filter scale (mimicking CRM re solvable scale) and subfilter scale (mimicking CRM SOS) using filter widths characteristic of a typical CRM grid spacing The local relationship of the subfilter scale fluxes to the filter scale variables is examined This leads to a mixed SGS scheme to represent the SOS fluxes of scalars and momentum in CRMs A priori tests show that the mixed SOS scheme yields spatial distributions of subfilter scale fluxes that correlate much better with those retrieved from the benchmark when compared with an eddy viscosity/diffusivity scheme that is commonly used in today s CRMs
引用
收藏
页码:3692 / 3705
页数:14
相关论文
共 50 条
  • [31] Novel mixed approximate deconvolution subgrid-scale models for large-eddy simulation
    Amani, Ehsan
    Molaei, Mohammad Bagher
    Ghorbani, Morteza
    [J]. PHYSICS OF FLUIDS, 2024, 36 (08)
  • [32] The use of LES subgrid-scale models for shock capturing
    Adams, NA
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2002, 39 (09) : 783 - 797
  • [33] Stochastic Parameterization of Subgrid-Scale Velocity Enhancement of Sea Surface Fluxes
    Bessac, Julie
    Monahan, Adam H.
    Christensen, Hannah M.
    Weitzel, Nils
    [J]. MONTHLY WEATHER REVIEW, 2019, 147 (05) : 1447 - 1469
  • [34] Impact of subgrid-scale models on jet turbulence and noise
    Uzun, Ali
    Blaisdell, Gregory A.
    [J]. AIAA JOURNAL, 2006, 44 (06) : 1365 - 1368
  • [35] Inertial Manifolds for Certain Subgrid-Scale α-Models of Turbulence
    Abu Hamed, Mohammad
    Guo, Yanqiu
    Titi, Edriss S.
    [J]. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS, 2015, 14 (03): : 1308 - 1325
  • [36] Assessment of subgrid-scale models in dissipative vortical structures
    Horiuti, K
    [J]. ADVANCES IN TURBULENCE VIII, 2000, : 519 - 522
  • [37] A Priori Validation of Subgrid-scale Models for Astrophysical Turbulence
    Hu, Chia-Yu
    Chiang, Chi-Ting
    [J]. ASTROPHYSICAL JOURNAL, 2020, 900 (01):
  • [38] Predictability and error growth dynamics in cloud-resolving models
    Hohenegger, Cathy
    Schaer, Christoph
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 2007, 64 (12) : 4467 - 4478
  • [39] A stochastic extension of the explicit algebraic subgrid-scale models
    Rasam, A.
    Brethouwer, G.
    Johansson, A. V.
    [J]. PHYSICS OF FLUIDS, 2014, 26 (05)
  • [40] How does subgrid-scale parametrization influence nonlinear spectral energy fluxes in global NWP models?
    Malardel, Sylvie
    Wedi, Nils P.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (10) : 5395 - 5410