GRAPES_TYM模式對TC路徑及環境引導氣流預報檢驗分析
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國家行業專項(201406006)、國家自然科學基金(41365005)、國家科技支撐計劃項目(2013BAK05B03)、海南省南海氣象防災減災重點實驗室開放基金課題(SCSF201404)資助


Test and Analysis of GRAPES_TYM Model for TC Track and Environmental Steering Flow Forecast
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    摘要:

    對2012—2013年GRAPES_TYM模式熱帶氣旋路徑預報結果進行檢驗,結果表明:模式對所有類型路徑預報在24 h、48 h和72 h預報時效的平均距離誤差分別為94.3 km,143.7 km和 260.8 km,并且存在偏北的系統性偏差;對于南海TC,模式對TC移向預報較實況偏右,移速誤差較小,移向偏差是路徑偏差的主要原因;另外統計得到模式對TC移向的預報偏差與對其環境引導氣流預報偏差有密切的關系,以1213號臺風“啟德”為例進一步通過移向誤差診斷方程探討了環境引導氣流預報偏差(包括環境風場預報偏差、環境引導氣流半徑偏差及環境引導氣流厚度偏差)對TC移向偏差的影響,而環境引導氣流預報誤差來源與模式對大尺度天氣系統、TC大小及強度的預報偏差有關。

    Abstract:

    Tropical cyclone path forecast results are checked for 2012 to 2013 using the GRAPES_TYM model. The results show that the average distance errors of the model is 94.3, km, 143.7 km and 260.8 km, in 24 h, 48 h and, 72 h, respectively; there exist farthernorthern systematic biases for all types of TC forecast paths for the GRAPES_TYM model; for TC in the South China Sea, the TC moving direction prediction by GRAPES_TYM model slants to the right, and the moving speed error is less. The moving direction deviation is the main source of the path deviation. In addition, the statistic prediction model bias toward TC and TC environmental steering flow forecast bias are closely related. Taking the Typhoon “Kaitak” as an example, according to the moving direction error diagnosis equation, the environmental steering flow forecast deviations (including environment wind field deviation, the impacts of the environment directing flow radius deviation, and environmental steering flow thickness deviation) on the TC moving direction prediction error are investigated; however, the environmental steering flow forecasting error sources are related with the model forecasting errors of largescale weather systems and the size and strength of TCs.

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吳俞,麻素紅,李勛,張進,薛諶彬,蔡親波. GRAPES_TYM模式對TC路徑及環境引導氣流預報檢驗分析[J].氣象科技,2016,44(6):937~948

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歷史
  • 收稿日期:2015-09-01
  • 定稿日期:2016-08-25
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  • 在線發布日期: 2016-12-26
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