Evaluation of heavy rainfall model forecasts over the Korean Peninsula using different physical parameterization schemes and horizontal resolution

被引：0
作者：
Jeong-Gyun Park
Dong-Kyou Lee
机构：
[1] Seoul National University,Atmospheric Sciences Program, School of Earth and Environmental Sciences
来源：
Advances in Atmospheric Sciences | 2011年 / 28卷
关键词：
heavy rainfall; mesoscale convection; mesoscale model; evaluation; convective parameterization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this study, the accuracy of a Pennsylvania State University-National Center for Atmospheric Research mesoscale model (PSU/NCAR MM5) for predicting heavy summer precipitation over the Korean Peninsula was investigated. A total of 1800 simulations were performed using this model for 30 heavy rainfall events employing four cumulus parameterization schemes (CPS), two grid-scale resolvable precipitation schemes (GRS), and two planetary boundary layer (PBL) schemes in three model resolutions (90 km, 30 km, and 10 km). The heavy rainfall events were mesoscale convective systems developed under the influence of mid-latitude baroclinic systems with low-level moisture transport from the ocean.
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页码：1233 / 1245
页数：12
相关论文
共 72 条
[1]  
Anthes R. A.(1977)A cumulus parameterization scheme utilizing a one-dimensional cloud model Mon. Wea. Rev. 105 270-286
[2]  
Betts A. K.(1986)A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX, and Arctic air-mass data sets Quart. J. Roy. Meteor. Soc. 112 693-709
[3]  
Miller M. J.(2002)The sensitivity of the numerical simulation of the southwest monsoon boundary layer to the choice of PBL turbulence scheme in MM5 Wea. Forecasting 17 99-114
[4]  
Bright D. R.(2009)Neighborfood verification: A strategy for rewarding close forecasts Wea. Forecasting 24 1498-1510
[5]  
Mullen S. L.(1995)A double-moment multiple-phase four-class bulk ice scheme. Part II: Simulations of convective storms in different large-scale environments and comparisons with other bulk parameterizations J. Atmos. Sci. 52 1001-1033
[6]  
Ebert E.(2003)Short-range (0–48 h) numerical prediction of convective occurrence, mode, and location Wea. Forecasting 18 782-794
[7]  
Ferrier B. S.(2009)Intercomparison of spatial forecast verification methods Wea. Forecasting 24 1416-1430
[8]  
Tao W.-K.(2004)Precipitation and evolution sensitivity in simulated deep convective storms: Comparisons between liquid-only and simple ice and liquid phase microphysics Mon. Wea. Rev. 132 1897-1916
[9]  
Simpson J.(1993)Prognostic evaluation of assumptions used by cumulus parameterizations Mon. Wea. Rev. 121 764-787
[10]  
Fowle M. A.(2004)Comparison of heavy rainfall mechanisms in Korea and the central US J. Meteor. Soc. Japan 82 1469-1479
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