LIANG Jiahao,CHEN Keyi,LI Yu.The Impact of Different Cumulus Parameterization Schemes of the WRF Model on the Typhoon “Ryan” Simulation over the South China Sea[J].Journal of Chengdu University of Information Technology,2019,(02):162-171.[doi:10.16836/j.cnki.jcuit.2019.02.010]
WRF模式中积云对流参数化方案对南海土台风“Ryan”模拟的影响研究
- Title:
- The Impact of Different Cumulus Parameterization Schemes of the WRF Model on the Typhoon “Ryan” Simulation over the South China Sea
- 文章编号:
- 2096-1618(2019)02-0162-10
- Keywords:
- atmospheric science; numerical simulation; the South China Sea typhoon; WRF model; cumulus parameterization; typhoon track; typhoon intensity
- 分类号:
- P444
- 文献标志码:
- A
- 摘要:
- 为了研究数值模式中不同积云对流参数化方案对南海土台风模拟的影响,以T9514号南海土台风“Ryan”为例,利用中尺度WRF-ARW模式(版本3.7.0)作对比试验,分析比较使用不同积云对流参数化方案模拟的台风路径、强度和相关物理量。结果表明,由Kain-Fritsch(KF)方案模拟得到的台风路径有北折过程,台风移速较快,台风强度较弱; 由Betts-Miller-Janjic(BMJ)方案模拟得到的台风移动速度快,台风中心对流强,台风强度较强; 由Tiedtke(TDK)方案模拟得到的台风路径最接近实况路径,台风强度较弱。
- Abstract:
- In order to study the impact of simulating the typhoon with different cumulus convective parameterization schemes. Taking typhoon T9514 “Ryan” developed over the South China sea in 1995 as a case, this report analyses and contrasts the results of different cumulus convection parameterization schemes on the simulating experiments from WRF-ARW mode(version 3.7.0)including the simulative tracks, intensity and other physical quantities. The results show that the typhoon track simulated by Kain-Fritsch(KF)scheme has the north folding process, the typhoon moves faster with more precipitation and the intensity is weaker. The Betts-Miller-Janjic(BMJ)scheme experiment shows that the track is ahead of the best track, the convection of the typhoon center is stronger with stronger intensity. In the results of the Tiedtke(TDK)scheme experiment, the typhoon track is very close to the best one, but the typhoon intensity is weaker.
参考文献/References:
[1] 蒋迪,黄菲,郝光华,等.南海土台风生成及发展过程海气热通量交换特征[J].热带气象学报,2012(6).
[2] 李响.WRF模式中积云对流参数化方案对西北太平洋台风路径与强度模拟的影响[J].中国科学(地球科学),2012(12).
[3] Charney J G,Eliassen A.On the growth of the hurricane depression[J].J Atmos Sci,1964,21:68-75.
[4] Kuo H L.Further studies of the parameterization of the influence of cumulus convection on large-scale flow[J].J Atmos Sci,1974,31:1232-1240.
[5] Frank W M.The cumulus parameterization problem[J].Mon Weather Rev,1983,111:1859-1871.
[6] Arakawa A.The cumulus parameterization problem:Past,present,and future[J].J Clim,2004,17:2493-2525.
[7] Molinari J,Dudek M.Parameterization of convective precipitation in mesoscale numerical models:A critical review.Mon Weather Rev,1992,120:326-344.
[8] 高栓柱,孟智勇,杨贵名.台风麦莎渤海转向的可预报性研究[J].气象,2009,35:8-14.
[9] 王振会,河惠卿,金正润,等.积云参数化和微物理方案不同组合应用对台风路径模拟效果的影响[J].热带气象学报,2009,25:435-441.
[10] Mukhopadhyay P,Taraphdar S,Goswami B N.Influence of moist processes on track and intensity forecast of cyclones over the north Indian Ocean[J].J Geophys Res,2011,116:D05116.
[11] Osuri K,Mohanty U,Routray A,et al.Customization of WRF-ARW model with physical parameterization schemes for the simulation of tropical cyclones over North Indian Ocean[J].Nat Hazards,2011.
[12] Raju P,Potty J,Mohanty U.Sensitivity of physical parameterizations on prediction of tropical cyclone Nargis over the Bay of Bengal using WRF model[J].Meteorol Atmos Phys,2011,113:125-137.
[13] Srinivas C V,Venkatesan R,Rao D V,et al.Numerical simulation of Andhra severe cyclone(2003):Model sensitivity to the boundary layer and convection parameterization[J].Pure Appl Geophys,2007,164:1465-1487.
[14] Mandal M,Mohanty U C,Raman S. A study on the impact of parameterization of physical processes on prediction of tropical cyclones over the bay of bengal with NCAR/PSU mesoscale model[J].Nat Hazards,2004,31:391-414.
[15] Karyampudi V M,Lai G S,Manobianco J.Impact of initial conditions,rainfall assimilation,and cumulus parameterization on simulations of Hurricane Florence(1988)[J].Mon Weather Rev,1998,126:3077-3101.
[16] Davis C,Bosart L F.Numerical simulations of the genesis of hurricane Diana(1984).Part II:Sensitivity of track and intensity prediction[J].Mon Weather Rev,2002,130:1100-1124.
[17] Kain J S,Fritsch J M.A one-dimensional entraining/detraining plume model and its application in convective parameterization[J].J Atmos Sci,1990,47:2784-2802.
[18] Kain J S,Fritsch J M.Convective parameterization for mesoscale models:The Kain-Fritcsh scheme.The representation of cumulus convection in numerical models[J].Amer Meteoral Soc Meteoral Monogr,1993,24:165-170.
[19] Kain J S.The Kain-Fritsch convective parameterization:An update[J].J Appl Meteorol,2004,43:170-181.
[20] Betts A K.A new convective adjustment scheme.Part I:Observational and theoretical basis.Q J R Meteorol Soc,1986,112:677-691.
[21] Betts A K,Miller M J.A new convective adjustment scheme.Part II:Single column tests using GATE wave,BOMEX,and arctic air-mass data sets.Q J R Meteorol Soc,1986,112:693-709.
[22] Janjic Z I.The step-mountain coordinate: Physical package[J].Mon Weather Rev,1990,118:1429-1443.
[23] Tiedtke M.A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models[J].Monthly Weather Review,1989,117(8):1779.
[24] Tiedtke M.Representation of Clouds in Large-Scale Models[J].Monthly Weather Review,1993,121:3040.
[25] 王德立.积云对流参数化方案诊断和初步改进研究[D].北京:中国气象科学研究院,2012:1-78.
相似文献/References:
[1]廖 琦,肖天贵,金荣花.东亚副热带西风急流年际变化特征分析[J].成都信息工程大学学报,2018,(01):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
LIAO Qi,XIAO Tian-Gui,JIN Rong Hua.Analysis on Inter-annual Variation of EastAsian Subtropical Westerly Jet[J].Journal of Chengdu University of Information Technology,2018,(02):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
[2]高清泉,韩瑽琤,肖天贵.微波通信链路监测降水试验及可行性探究[J].成都信息工程大学学报,2018,(02):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
GAO Qing-quan,HAN Cong-cheng,XIAO Tian-gui.Feasibility Study of Microwave CommunicationLink for Rainfall Monitoring Purposes[J].Journal of Chengdu University of Information Technology,2018,(02):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
[3]黄 瑶,肖天贵,刘思齐.2016年7月四川持续性强降水的中尺度滤波分析[J].成都信息工程大学学报,2018,(03):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
HUANG Yao,XIAO Tian-gui,LIU Si-qi.Mesoscale Filtering Analysis of Persistent Heavy Rainfall in Sichuan in July 2016[J].Journal of Chengdu University of Information Technology,2018,(02):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
[4]李雅婷,苏德斌,孙晓光,等.四川盆地风廓线雷达大气折射率结构常数特征分析[J].成都信息工程大学学报,2018,(04):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
LI Ya-ting,SU De-bin,SUN Xiao-guang,et al.Characteristic Analysis of Atmospheric Structure Constant of Refractive Index of
Sichuan Basin based on Wind Profiler Radar[J].Journal of Chengdu University of Information Technology,2018,(02):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
[5]石 宇,肖子牛,朱克云.夏季角动量输送变化与中国东部降水的关系[J].成都信息工程大学学报,2018,(04):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
SHI Yu,XIAO Zi-niu,ZHU Ke-yun.Relationship between Angular Momentum Transportand Precipitation in Eastern China in Summer[J].Journal of Chengdu University of Information Technology,2018,(02):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
[6]宾 昕,程志刚,王俊锋,等.近17a秦巴山区NDVI季节变化差异及其海拔依赖性特征分析[J].成都信息工程大学学报,2019,(03):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
BIN Xin,CHENG Zhigang,WANG Junfeng,et al.Seasonal Variation of NDVI and Altitude Dependent Characteristics in Qinling-Daba Mountains in Recent 17 Years[J].Journal of Chengdu University of Information Technology,2019,(02):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
[7]金凡琦,程志刚,靳立亚,等.成渝城市群热环境效应与植被覆盖度关系研究[J].成都信息工程大学学报,2019,(03):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
JIN Fanqi,CHENG Zhigang,JIN Liya,et al.Study on the Relationship between Thermal Environment Effect and Vegetation Coverage in Chengyu Urban Agglomeration[J].Journal of Chengdu University of Information Technology,2019,(02):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
[8]元 震,肖天贵.高原低涡与OLR、风场的气候变化及低频信号特征[J].成都信息工程大学学报,2018,(05):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
YUAN Zhen,XIAO Tian-gui.Climate Change and Low-frequency Signal Characteristics of
Plateau Vortex, OLR and Wind Fields[J].Journal of Chengdu University of Information Technology,2018,(02):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
[9]周 颖,向卫国.四川盆地大气混合层高度特征及其与AQI的相关性分析[J].成都信息工程大学学报,2018,(05):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
ZHOU Ying,XIANG Wei-guo.Analysis of the Characteristics of the Height of Atmospheric Mixed
Layers in Sichuan Basin and its Correlation with AQI[J].Journal of Chengdu University of Information Technology,2018,(02):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
[10]雷坤江,假 拉,肖天贵.利用FY2E 卫星降水资料对西藏地区
降水日变化特征分析[J].成都信息工程大学学报,2016,(01):86.
LEI Kun-jiang,JIA La,XIAO Tian-gui.The Characteristics of Diurnal Variations of Precipitation
Analysis in Tibet Accord to FY2E Precipitation[J].Journal of Chengdu University of Information Technology,2016,(02):86.
[11]彭 敏,巩远发,纪 策,等.新疆昌吉州一次极端暴雨天气过程分析及数值模拟[J].成都信息工程大学学报,2017,(05):537.[doi:10.16836/j.cnki.jcuit.2017.05.012]
PENG Min,GONG Yuan-fa,JI Ce,et al.Xinjiang Changji once Extreme Storm Weather Process
Analysis and Numerical Simulation in June 9, 2016[J].Journal of Chengdu University of Information Technology,2017,(02):537.[doi:10.16836/j.cnki.jcuit.2017.05.012]
[12]周艳艳,王 超,肖天贵,等.盆地城市下垫面相对湿度变化特征及数值模拟研究——以成都为例[J].成都信息工程大学学报,2020,35(01):111.[doi:10.16836/j.cnki.jcuit.2020.01.015]
ZHOU Yanyan,WANG Chao,XIAO Tiangui,et al.Characteristics and Numerical Simulation of Relative Humidity in Underlying Surface of Basin Cities-Taking Chengdu as an Example[J].Journal of Chengdu University of Information Technology,2020,35(02):111.[doi:10.16836/j.cnki.jcuit.2020.01.015]
[13]赵胜男,王 磊,李谢辉,等.一次南京特大暴雨的数值模拟及Q矢量诊断[J].成都信息工程大学学报,2020,35(06):678.[doi:10.16836/j.cnki.jcuit.2020.06.015]
ZHAO Shengnan,WANG Lei,LI Xiehui,et al.Numerical Simulation of a Heavy Rain in Nanjing[J].Journal of Chengdu University of Information Technology,2020,35(02):678.[doi:10.16836/j.cnki.jcuit.2020.06.015]
[14]孙世杰,张小玲,樊 晋.高温背景下城市下垫面扩张对于成都市热岛效应的数值试验[J].成都信息工程大学学报,2023,38(03):358.[doi:10.16836/j.cnki.jcuit.2023.03.016]
SUN Shijie,ZHANG Xiaoling,FAN Jin.Numerical Simulation of the Effect of Urbanization on Heat Island Effect underExtreme-High-Temperature Background in Chengdu[J].Journal of Chengdu University of Information Technology,2023,38(02):358.[doi:10.16836/j.cnki.jcuit.2023.03.016]
备注/Memo
收稿日期:2018-11-07 基金项目:国家自然科学基金资助项目(41505014)