Prediction of Graupel Density in a Bulk Microphysics Scheme

被引:57
作者
Milbrandt, Jason A. [1 ]
Morrison, Hugh [2 ]
机构
[1] Environm Canada, Atmospher Numer Predict Res, Montreal, PQ, Canada
[2] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
关键词
SIMULATED SQUALL LINE; CLOUD MICROPHYSICS; PART I; TERMINAL VELOCITIES; HABIT PREDICTION; ICE MICROPHYSICS; POWER LAWS; PRECIPITATION; PARAMETERIZATION; SENSITIVITY;
D O I
10.1175/JAS-D-12-0204.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A method to predict the bulk density of graupel rho(g) has been added to the two-moment Milbrandt-Yau bulk microphysics scheme. The simulation of graupel using the modified scheme is illustrated through idealized simulations of a mesoscale convective system using a 2D kinematic model with a prescribed flow field and different peak updraft speeds. To examine the relative impact of the various approaches to represent rimed ice, simulations were run for various graupel-only and graupel-plus-hail configurations. Because of the direct feedback of rho(g) to terminal fall speeds, the modified scheme produces a much different spatial distribution of graupel, with more mass concentrated in the convective region resulting in changes to the surface precipitation at all locations. With a strong updraft, the model can now produce solid precipitation at the surface in the convective region without a separate hail category. It is shown that a single rimed-ice category is capable of representing a realistically wide range of graupel characteristics in various atmospheric conditions without the need for a priori parameter settings. Sensitivity tests were conducted to examine various aspects of the scheme that affect the simulated rho(g). Specific parameterizations pertaining to other hydrometeor categories now have a direct impact on the simulation of graupel, including the assumed aerosol distribution for droplet nucleation, which affects the drop sizes of both cloud and rain, and the mass-size relation for snow, which affects its density and hence the embryo density of graupel converted from snow due to riming.
引用
收藏
页码:410 / 429
页数:20
相关论文
共 79 条
[31]  
LEARY CA, 1979, J ATMOS SCI, V36, P669, DOI 10.1175/1520-0469(1979)036<0669:MAEOHI>2.0.CO
[32]  
2
[33]   FALL SPEEDS AND MASSES OF SOLID PRECIPITATION PARTICLES [J].
LOCATELLI, JD ;
HOBBS, PV .
JOURNAL OF GEOPHYSICAL RESEARCH, 1974, 79 (15) :2185-2197
[34]  
LORD SJ, 1984, J ATMOS SCI, V41, P2836, DOI 10.1175/1520-0469(1984)041<2836:ROAPIP>2.0.CO
[35]  
2
[37]   Simulated Electrification of a Small Thunderstorm with Two-Moment Bulk Microphysics [J].
Mansell, Edward R. ;
Ziegler, Conrad L. ;
Bruning, Eric C. .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2010, 67 (01) :171-194
[38]   Factors affecting the evolution of Hurricane Erin (2001) and the distributions of hydrometeors: Role of microphysical processes [J].
McFarquhar, GM ;
Zhang, HN ;
Heymsfield, G ;
Hood, R ;
Dudhia, J ;
Halverson, JB ;
Marks, F .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2006, 63 (01) :127-150
[39]   New RAMS cloud microphysics parameterization .2. The two-moment scheme [J].
Meyers, MP ;
Walko, RL ;
Harrington, JY ;
Cotton, WR .
ATMOSPHERIC RESEARCH, 1997, 45 (01) :3-39
[40]   Simulation of an Orographic Precipitation Event during IMPROVE-2. Part I: Evaluation of the Control Run Using a Triple-Moment Bulk Microphysics Scheme [J].
Milbrandt, J. A. ;
Yau, M. K. ;
Mailhot, J. ;
Belair, S. .
MONTHLY WEATHER REVIEW, 2008, 136 (10) :3873-3893