Yan Jinghua, Ding Weiyu, Xu Jianping. 'Non-bogussing' initialization for tropical cyclone numerical prediction and its features. J Appl Meteor Sci, 2004, 15(5): 513-522.
Citation: Yan Jinghua, Ding Weiyu, Xu Jianping. "Non-bogussing" initialization for tropical cyclone numerical prediction and its features. J Appl Meteor Sci, 2004, 15(5): 513-522.

"NON-BOGUSSING" INITIALIZATION FOR TROPICAL CYCLONENUMERICAL PREDICTION AND ITS FEATURES

  • Received Date: 2002-11-29
  • Rev Recd Date: 2004-03-20
  • Publish Date: 2004-10-31
  • For the demand of fine prediction and based on the features of high resolution models, the "non-bogussing" initialization was tested to make fine prediction of tropical cyclones (TC), i. e., the initial fields from 4-dimensional assimilation was adopted, without adding the TC bogussing, to avoid illusive information induced from idealized TC structure, and to acquire finer or more accurate prediction to the track, intensity and structure of TCs. The feasibility of the scheme was evaluated by using all TC cases which affected the South China in 2001. The results show that the scheme has a better capability to predict the genesis of TCs, and higher accuracy for track prediction, with prediction errors unremarkably increasing with integral time, and especially reflects better the complicated track and local effects. While it shows a higher skill for TC intensity prediction in terms of intensity change. In addition, it reflects well the asymmetric and spiral structures of cloud, rainfall and winds for the TCs, showing well practicability. All of these revealed the advantages and developing potentials of the scheme, which implies that "non-bogussing" initialization should be one of the main approaches for the TC numerical prediction techniques in the future. However, at the current condition, the scheme possesses some insufficiencies. The main problem is that due to the lack of observational information, larger errors may often occur in the initial TC position or intensity, which may cause larger prediction errors, when the TC is too weak, newly arising or far away from the mainland.
  • [1]
    Ueno M, OKnogi K. Improvement in the Operational Typhoon Bogussing Method. Escape/WMO Typhoon Committee Technical Conference on SPECTRUM, 1991.
    [2]
    何安国, 王康玲.南海异常台风预报的数值试验.热带气象学报, 1993, 9(2):133-141.
    [3]
    万齐林.南海台风模式TC强度预报分析.粤港澳重要天气研讨会, 香港, 2000.
    [4]
    Flatau M, Schubert W H, Stevens D E. The role of baroclinic processes in tropical cyclone motion: The influence of vertical tilt.Journal of the Atmospheric Sciences, 1994, 51: 2589-2601. doi:  10.1175/1520-0469(1994)051<2589:TROBPI>2.0.CO;2
    [5]
    周霞琼, 端义宏, 朱永禔.热带气旋路径集合预报方法研究:正压模式结果的初步分析.热带气象学报, 2003, 19:1-8. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200301000.htm
    [6]
    陈德辉.热带气旋数值预报新进展.气象科技, 1995, (3):7-12. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ503.001.htm
    [7]
    Tadashi Tsuyuki. Variational data assimilation in the tropics using precipitation data. Part II: 3D model.Monthly Weather Review, 1996, 124: 2545-2561. doi:  10.1175/1520-0493(1996)124<2545:VDAITT>2.0.CO;2
    [8]
    Shi J J, Chang S, Raman S. Impact of assimilations of dropwindsonde data and SSM/I rain rates on numerical predictions of hurricane florence (1988).Monthly Weather Review, 1996, 124:1435-1448. doi:  10.1175/1520-0493(1996)124<1435:IOAODD>2.0.CO;2
    [9]
    Marshall J F L. Tropical cyclone forecasts using high resolution satellite data and 4D-Var. Proceedings of the Fifth International Workshop on Tropical Cyclones (IWTC-V), Cairns, Queensland, Australia.2002.
    [10]
    Davidson N E, Puri K. Tropical prediction using dynamical nudging, satellite-defined convective heat sources, and a cyclone bogus.Monthly Weather Review, 1992, 120:2501-2522. doi:  10.1175/1520-0493(1992)120<2501:TPUDNS>2.0.CO;2
    [11]
    Zou Xiaolei, Xiao Qingnong. Studies on the initialization and simulation of a mature hurricane using a variational bogus data assimilation scheme.Journal of the Atmospheric Sciences, 2000, 57: 836-860. doi:  10.1175/1520-0469(2000)057<0836:SOTIAS>2.0.CO;2
    [12]
    Goerss J S, Jeffries R A. Assimilation of synthetic tropical cyclone observations into the navy operational global atmospheric prediction system.Weather and Forecasting, 1994, 9: 557-576. doi:  10.1175/1520-0434(1994)009<0557:AOSTCO>2.0.CO;2
    [13]
    Kwon H J, Won S-H. GFDL-type typhoon initialization in MM5.Monthly Weather Review, 2002, 130: 2966-2974. doi:  10.1175/1520-0493(2002)130<2966:GTTIIM>2.0.CO;2
    [14]
    闫敬华.广州中尺度模式局地要素预报性能分析.应用气象学报, 2001, 12(1): 21-29. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20010103&flag=1
    [15]
    陈德辉.世界数值预报发展动态与中国数值预报发展设想.全国数值预报与并行计算研讨会论文汇编, 重庆, 2000.1-11.
    [16]
    端义宏.热带气旋强度变化研究进展.第十二届全国热带气旋科学讨论会论文摘要, 宁波, 2002.11-14.
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    • Received : 2002-11-29
    • Accepted : 2004-03-20
    • Published : 2004-10-31

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