Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics

被引:59
作者
Fan, Jiwen [1 ]
Liu, Yi-Chin [1 ,2 ]
Xu, Kuan-Man [3 ]
North, Kirk [4 ]
Collis, Scott [5 ]
Dong, Xiquan [6 ]
Zhang, Guang J. [7 ]
Chen, Qian [8 ]
Kollias, Pavlos [1 ]
Ghan, Steven J. [1 ]
机构
[1] Pacific NW Natl Lab, Richland, WA 99352 USA
[2] Air Resources Board, Sacramento, CA USA
[3] NASA, Langley Res Ctr, Hampton, VA 23665 USA
[4] McGill Univ, Dept Atmospher & Ocean Sci, Montreal, PQ, Canada
[5] Argonne Natl Lab, Div Environm Sci, Argonne, IL 60439 USA
[6] Univ N Dakota, Dept Atmospher Sci, Grand Forks, ND 58201 USA
[7] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA
[8] Nanjing Univ Informat Sci & Technol, China Meteorol Adm, Key Lab Aerosol Cloud Precipitat, Nanjing, Jiangsu, Peoples R China
关键词
cumulus parameterization; scale aware; deep convection; cloud-resolving models; bin and bulk microphysics; MESOSCALE MODEL MM5; PART I; CUMULUS ENSEMBLES; EXPLICIT SIMULATION; RESOLVING MODELS; SENSITIVITY; INTENSITY; SCHEME; PRECIPITATION; NUCLEATION;
D O I
10.1002/2014JD022142
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The ultimate goal of this study is to improve the representation of convective transport by cumulus parameterization for mesoscale and climate models. As Part 1 of the study, we perform extensive evaluations of cloud-resolving simulations of a squall line and mesoscale convective complexes in midlatitude continent and tropical regions using the Weather Research and Forecasting model with spectral bin microphysics (SBM) and with two double-moment bulk microphysics schemes: a modified Morrison (MOR) and Milbrandt and Yau (MY2). Compared to observations, in general, SBM gives better simulations of precipitation and vertical velocity of convective cores than MOR and MY2 and therefore will be used for analysis of scale dependence of eddy transport in Part 2. The common features of the simulations for all convective systems are (1) the model tends to overestimate convection intensity in the middle and upper troposphere, but SBM can alleviate much of the overestimation and reproduce the observed convection intensity well; (2) the model greatly overestimates Z(e) in convective cores, especially for the weak updraft velocity; and (3) the model performs better for midlatitude convective systems than the tropical system. The modeled mass fluxes of the midlatitude systems are not sensitive to microphysics schemes but are very sensitive for the tropical case indicating strong microphysics modification to convection. Cloud microphysical measurements of rain, snow, and graupel in convective cores will be critically important to further elucidate issues within cloud microphysics schemes.
引用
收藏
页码:3485 / 3509
页数:25
相关论文
共 98 条
[1]   A parameterization of aerosol activation - 3. Sectional representation [J].
Abdul-Razzak, H ;
Ghan, SJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D3)
[2]  
[Anonymous], 1986, METEOR MONOGR, DOI DOI 10.1175/0065-9401-21.43.29
[3]  
Arakawa A, 2004, J CLIMATE, V17, P2493, DOI 10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO
[4]  
2
[5]   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
[6]  
ARAKAWA A, 1974, J ATMOS SCI, V31, P674, DOI 10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO
[7]  
2
[8]   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
[9]  
BERRY EX, 1974, J ATMOS SCI, V31, P2118, DOI 10.1175/1520-0469(1974)031<2118:AAOCDG>2.0.CO
[10]  
2