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TRMM海表降水率同化在热带气旋Danas(2001)数值模拟中的应用研究

马雷鸣 端义宏 梁旭东 王栋梁 秦曾灏 曾智华

马雷鸣, 端义宏, 梁旭东, 王栋梁, 秦曾灏, 曾智华. TRMM海表降水率同化在热带气旋Danas(2001)数值模拟中的应用研究[J]. 海洋学报, 2005, 27(6): 16-25.
引用本文: 马雷鸣, 端义宏, 梁旭东, 王栋梁, 秦曾灏, 曾智华. TRMM海表降水率同化在热带气旋Danas(2001)数值模拟中的应用研究[J]. 海洋学报, 2005, 27(6): 16-25.
MA Lei-ming, DUAN Yi-hong, LIANG Xu-dong, WANG Dong-liang, QIN Zeng-hao, ZENG Zhi-hua. Four-dimensional variational data assimilation of TRMM data in numerical prediction of TC Danas(2001)[J]. Haiyang Xuebao, 2005, 27(6): 16-25.
Citation: MA Lei-ming, DUAN Yi-hong, LIANG Xu-dong, WANG Dong-liang, QIN Zeng-hao, ZENG Zhi-hua. Four-dimensional variational data assimilation of TRMM data in numerical prediction of TC Danas(2001)[J]. Haiyang Xuebao, 2005, 27(6): 16-25.

TRMM海表降水率同化在热带气旋Danas(2001)数值模拟中的应用研究

基金项目: 国家自然科学基金项目(40275018;49975014;40333025)

Four-dimensional variational data assimilation of TRMM data in numerical prediction of TC Danas(2001)

  • 摘要: 研究了TRMM/TMI海表降水率资料的四维变分同化在热带气旋(TC)数值模拟中的作用.使用中尺度气象模式MM5设计了若干数值试验模拟了TC Danas(2001)由热带低压初生到台风生成的发展过程.在满足MM5模式动力约束的前提下,将TRMM海表降水率资料直接同化进入较高分辨率(18 km)的模式初始场.结果表明,使用MM5模式的4D-VAR同化系统直接同化TRMM/TMI海表降水率资料是可行的.这种做法提高了TRMM资料的利用率,不仅在模式初始场中加入了更多实测信息,而且避免了两次同化(1DVAR+4DVAR)可能引起的误差.直接同化TRMM资料通过调整气压、温度、湿度等要素初始场,改善了模式对热带气旋结构(如暖心、涡度、散度)的描述和降水的模拟.在此基础上,同化不仅改进了对Danas强度的模拟,而且成功地模拟了热带气旋环境场的演变过程,因而改进了路径的模拟.
  • KRISHNAMURTI T N, BEDI H S, INGLES K. Physical initialization using SSM/I rain rates[J]. Tellus, 1993, 45A:247-269.
    ZUPANSKI D, MESINGER F. Four-dimensional variational assimilation of precipitation data[J]. Mon Wea Rev, 1995, 123:1 112-1 127.
    张志旭,齐义泉,施平.卫星高度计波高资料的同化试验分析[J].海洋学报,2003,25(5):21-28.
    谢强,侯一筠,王东晓,等.初始化方案对有限区域海面风场数值预报模式的影响[J].海洋学报,2000,22(6):32-39.
    MARÉCAL Mahfouf. Variational retrieval of temperature and humidity profiles from TRMM precipitation data[J]. Mon Wea Rev,2000, 128:3 853-3 866.
    RODGERS E,OLSON W, HALVERSON J, et al. Environmental forcing of Supertyphoon Paka's (1997) latent heat structure[J]. J Appl Meteor, 2000, 39:1 983-2 006.
    MARÉCAL Mahfouf. Four-dimensional variational assimilation of total column water vapor in rainy areas[J]. Mon Wea Rev, 2001, 130(1):43-58.
    HOU S Q, ZHANG A M, DA S, et al. Improving assimilated global datasets using TMI rainfall and columnar moisture observations[J].J Climate, 2000, 13:4 180-4 195.
    PU Z X, TAO W K, BRAUN S, et al. The Impact of TRMM Data on Mesoscale Numerical Simulation of Supertyphoon Paka[J]. Mon Wea Rev, 2002,130:2 448-2 458.
    XU Z F, GE W Z, DANG R Q. Application of TRMM/PR data for numerical simulation with mesoscale model MM5[J]. Adv Atmos Sci, 2003, 20(2):185-193.
    JIN X, LI W B, ZHU Y J. A study on the Meiyu Front using TRMM/PR data during the 1998 GAME/HUBEX[J]. Adv Atmos Sci,2003, 20(2):293-298.
    马雷鸣,端义宏.利用TRMM资料对热带气旋"威马逊"结构及其降水特征的研究[J].海洋学报,2005,27(1):36-44.
    MA Lei-ming, DUAN Yi-hong, ZHU Y T. The structure and rainfall features of tropical cyclone rammasun (2002)[J]. Adv Atmos Sci, 2004, 21(6):951-963.
    GRELL G A, DUDHIA J, STAUFFER D R. A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5)[A].NCAR Tech. Note NCAR/TN-398+STR[C], Boulder, 1995.
    ZOU X, HUANG W, XIAO Q. A user's guide to the MM5 adjoint modeling system[A]. NCAR Tech Note TN-437+IA[C], Boulder,1998.
    KUMMEROW C, OLSON W S, GIGLIO L. A simplified scheme for obtaining precipitation and vertical hydrometeor profile from passive microwave sensor[J]. IEEE Trans Geosci Remote Sens, 1996, 34:1 213-1 232.
    ZOU X, NAVON I M, BERGER M, et al. Numerical experience with limited-memory quasi-Newton and truncated Newton methods [J]. SIAM J Optimization, 1993, 3:582-608.
    HONG S Y, PAN H L. Nonlocal boundary layer vertical diffusion in a medium-range forecast model[J]. Mon Wea Rev, 1996, 124:2 322-2 339.
    ZOU X, XIAO Q. Studies on the initialization and simulation of a mature hurricane using a variational bogus data assimilation scheme [J]. J Atmos Sci, 2000, 57:836-860.
    IWASAKI T, NAKANO H, SUGI M. The performance of a typhoon track prediction model with cumulus parmeterization[J]. JMS Japan, 1987, 65:555-570.
    KURIHARA Y, BENDER M A, ROSS R J. An initialization scheme of hurricane models by vortex specification[J]. Mon Wea Rev,1993, 121:2 030-2 045.
    LESLIE L M, HOLLAND G J. On the bogussing of tropical cyclones in numerical models:A comparison of vortex profiles[J]. Meteor Atmos Phys, 1995, 56:101-110.
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  • 收稿日期:  2005-03-16
  • 修回日期:  2005-06-30

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