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3239548 
Journal Article 
AN SENSITIVITY SIMULATION ABOUT CLOUD MICROPHYSICAL PROCESSES OF TYPHOON CHANCHU 
Lin Wen-shi; Wu Jian-bin; Li Jiang-nan; Liang Xu-dong; Fang Xing-qin; Xu Sui-shan 
2010 
1 
Journal of Tropical Meteorology
ISSN: 1006-8775 
16 
4 
390-401 
WOS:000285402000011 
With the Reisner-2 bulk microphysical parameterization of
the fifth-generation Pennsylvania State University-U.S. National Center for Atmospheric Research
(PSU-NCAR) Mesoscale Model (MM5), this paper investigates the microphysical sensitivities of
Typhoon Chanchu. Four different microphysical sensitivity experiments were designed with an
objective to evaluate their respective impacts in modulating intensity forecasts and microphysics
budgets of the typhoon. The set of sensitivity experiments were conducted that comprised (a) a
control experiment (CTL), (b) NEVPRW from which evaporation of rain water was suppressed, (c) NGP
from which gaupel was taken, and (d) NMLT from which melting of snow and graupel was removed. We
studied the impacts of different cloud microphysical processes on the track, intensity and
precipitation of the typhoon, as well as the kinematics, thermodynamics and vertical structural
characteristics of hydrometeors in the inner core of the typhoon. Additionally, the budgets of
the cloud microphysical processes in the fine domain were calculated to quantify the importance
of each microphysical process for every sensitivity experiment. The primary results are as
follows: (1) It is found that varying cloud microphysics parameters produce little sensitivity in
typhoon track experiments. (2) The experiment of NGP produces the weakest storm, while the
experiment of NMLT produces the strongest storm, and the experiment of NEVPRW also produces
stronger storms than CTL. (3) Varying parameters of cloud microphysics have obvious impacts on
the precipitation, kinematics, and thermodynamics of the typhoon and the vertical structural
characteristics of hydrometeors in the typhoon's inner core. (4) Most budgets of cloud
microphysics in NMLT are larger than in CTL, while they are 20%-60% smaller in NEVPRW than in
CTL. 
Typhoon Chanchu; cloud microphysics; simulation