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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122761

    题名: Application of Weighted Analog Intensity Prediction (WAIP) guidance on Philippine tropical cyclone events
    作者: Robb P. Gile;John Carlo S. Sugui;Juanito S. Galang;Esperanza O. Cayanan;Hsiao-Chung Tsai;Yung-Lan Lin;Ai-Mei Chia;Ping-Yu Lin;Kuo-Chen Lu;Ben Jong-Dao Jou
    关键词: Intensity forecast;Philippine tropical cyclones;Weighted analog technique
    日期: 2021-10
    上传时间: 2022-06-06 12:10:42 (UTC+8)
    出版者: The Chinese Geoscience Union
    摘要: The tropical cyclone (TC) intensity forecast from the Weighted Analog Intensity Prediction (WAIP) was evaluated using 63 Philippine TC cases from 2014 to 2017 to determine its applicability as baseline intensity forecast guidance of the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA). The method generates a rank-weighted average of intensity evolutions of 10 historical analogs from the 1945 to 2014 Joint Typhoon Warning Center best tracks that closely resemble the PAGASA official forecast track and initial intensity at the time the forecast is generated. WAIP proved to be more skillful in providing intensity forecast at 12 to 96 h and less skillful at 120 h relative to persistence. Verification revealed that WAIP had significantly smaller mean absolute error and consistently smaller intensity biases up to 96 h. However, the small sample size at 96 h due to the limitations in the extent of the observed track and reference track forecast from PAGASA suggests that the result may not fully represent the model performance within the Philippine Area of Responsibility at 96 h. The probability distribution of intensities at 36, 72, and 96 h predicted by the model showed that the statistical model may not fully capture the full range of the observed intensities or the extreme values, with the model struggling to predict lower range of intensity values with increasing forecast intervals. Three TC cases are presented to emphasize the model dependence on the accuracy of the reference track forecast and the number and representativeness of available historical analogs for a particular forecast scenario.
    關聯: Terrestrial, Atmospheric and Oceanic Sciences 32(5), p.669-691
    DOI: 10.3319/TAO.2021.03.03.01
    显示于类别:[水資源及環境工程學系暨研究所] 期刊論文


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