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
Four-dimensional variational data assimilation of TRMM data in numerical prediction of TC Danas(2001)
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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.Abstract: The impact of TRMM/TMI surface rainfall rate (SRR) 4DVAR on numerical simulation of TC Danas (2001) is studied.Several numerical experiments are performed with mesoscale model MM5 to in vestigate the development of Danas from TC genesis to a typhoon.Under the dynamic constraint of MM5 model,the SRR data are assimilated directly in the initial meteorological field (18 km).The direct assimilation of SRR data with MM5 4DVAR is proved to be feasible,which not only incorporate as many observation data available as possible but also avoid the resultant error due to the twice cycles of assimilation (1DVAR+4DVAR).On the basis of adjusting the initial fields (SLP,temperature,humidity and soon),the direct assimilation of TRMM SRR improves the description of TC structure (such as warm core,vorticity and divergence) and the prediction of rainfall.As a result,the intensity and track of Danas are simulated successfully with TR M SRR assimilation.
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Key words:
- TRMM /
- TC Danas /
- 4DVAR /
- assimilation /
- rainfall /
- numerical simulation
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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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