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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/67990

    Title: 利用局地系集轉換卡爾曼濾波器雷達資料同化系統改善短期定量降雨預報: SoWMEX IOP8 個案分析
    Authors: 邵彥銘;Shao,Yan-ming
    Contributors: 大氣物理研究所
    Keywords: WRF-LETKF雷達資料同化系統;SoWMEX IOP8;SoWMEX IOP8
    Date: 2015-08-07
    Issue Date: 2015-09-23 10:11:24 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究使用一套結合局地系集轉換卡爾曼濾波器(LETKF)與天氣研究預報模式(WRF),同化多座都卜勒雷達資料,針對2008年西南氣流密集觀測實驗(IOP8)的兩個個案做分析與模擬,這兩個個案(0614、0616)分別都對台灣南部帶來龐大降雨,而本研究的實驗目的為探討此雷達資料同化系統是否能夠改善梅雨個案的短期預報降雨能力以及改善的程度。


    ;The Local Ensemble Transform Kalman Filter (LETKF) method, coupled with Weather Research and Forecast (WRF) model, is applied to assimilate data from five Doppler radars in Taiwan, with the purpose of investigating the improvement on short-term quantitative precipitation forecast (QPF) for rainfall events occurred during the Mei-Yu season. Two heavy precipitation cases from the 2008 SoWMEX IOP#8 field experiments are selected.

    The overall results demonstrate that by using WRF-LETKF to assimilate the radar data, the performance of model QPF for representing the Mei-Yu rainfall can be significantly improved. In the first case of June 14, 2008, it is found that by assimilating the 0 dBZ data, the spurious convection can be effectively suppressed. Extending the length of the radar data assimilation to two hours produces better rainfall forecast results. Generating initial perturbations from randomly selected, 6-hr apart data from the NCEP 1ox1o re-analysis data turns out to be a better way to capture the uncertainty related to the Mei-Yu frontal flow than the original NCEP NMC method does.

    The same model setup and assimilation method is applied to the second event on June 16, 2008. The pattern and amount of the forecasted rainfall pattern and over southwestern Taiwan indicates a very encouraging result. However, the rainfall prediction over eastern Taiwan becomes unrealistic strong, and this over-estimation cannot be mitigated due to the lack of radar data in this area. This indicates the importance of having a complete radar coverage over Taiwan and vicinity area.
    Appears in Collections:[大氣物理研究所 ] 博碩士論文

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