2005-08-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/672844摘要：本計畫所包含之「颱風重點研究」計畫辦公室，除推動與規劃颱風相關活動、科學會議及舉辦科學研討會外，亦同時扮演主導「侵台颱風之GPS 投落送飛機偵察及策略性觀測實驗」任務。2003年至今，投落送觀測實驗（追風計畫）已針對杜鵑、米勒、妮妲、康森、敏督利、梅姬、艾利、米雷、納坦及南瑪都等10個颱風完成12航次之飛機偵察及投落送觀測任務，總計在颱風上空飛行58小時、並投擲193枚投落送。到目前為止，針對追風計畫所得資料的評估結果顯示，投落送資料平均可以改進美國氣象局電腦模式（AVN）24~72小時颱風路徑預測準確度達20%。整體而言，投落送觀測實驗深受國際矚目。預期此研究計畫成果將為颱風研究及颱風監測與預報帶來重大突破。 此研究未來的工作重點將包括：  執行DOTSTAR颱風觀測任務（預計每年8-10航次）  DOTSTAR即時資料分析及預報參考  DOTSTAR資料對模式影響評估研究  DOTSTAR資料與其他遙測資料之驗證  新的Targeted Observation觀測策略之檢驗（結合NECP ensemble spreads, ETKF及NO<br> Abstract: Besides helping organize the typhoon research and planning the typhoon meetings/conferences, the main function of the project office of the “Priority Typhoon Research” is to continue conducting the field experiment, “Dropsonde Observations for Typhoon Surveillance near the TAiwan Region (DOTSTAR)”. Up to now, 12 missions have been flown for 10 typhoons, with 193 dropsondes released. It has been shown that the dropsonde data improve the 12-72-h NCEP AVN track prediction by about 20%. It is believed that the DOTSTAR experiment has made a significant contribution to the international typhoon research community, and should be worthwhile to be continued. The project is expected to yield impressive breakthroughs in typhoon research, forecasting, and observation when it is completed. The foci of the new DOTSTAR project in the next 3 years are:  Conducting the DOTSTAR observations（approximately 8-10mission per year）  Realtime analysis of the DOTSTAR data  Research on the impact of the DOTSTAR data to numerical models  Validation of the DOTSTAR data with other remote sensing data  Evaluation of the targeted observation strategies  Research on the marine boundary layer dynamics using the DOTSTAR data  Implementation of the DOTSTAR to operation  Collaboration of DOTSTAR with the Central Weather Bureau and other agencies  Research on the data assimilation related to DOTSTAR  International collaboration of DOTSTAR颱風重點研究GPS投落送策略性觀測颱風偵察飛機觀測實驗資料同化Priority typhoon researchGPS dropsondeadaptive observationtyphoon surveillance observation experimentsdata assimilation