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  4. Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector
 
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Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector

Journal
27th Conference on Hurricanes and Tropical Meteorology
Date Issued
2006
Author(s)
Wu, C.-C.
Chen, J.-H.
Lin, P.-H.
PO-HSIUNG LIN  
CHUN-CHIEH WU  
DOI
10.1175/JAS3974.1
URI
http://www.scopus.com/inward/record.url?eid=2-s2.0-75149180982&partnerID=MN8TOARS
http://scholars.lib.ntu.edu.tw/handle/123456789/323727
Abstract
Abstract Since 2003, a field program has been conducted under the name of Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). As the name DOTSTAR suggests, targeted observation is one of its key objectives. The prerequisite for designing the observing strategy is to identify the sensitive areas, which would exert great influence on the results of numerical forecast or the extent of the forecast error. In addition to various sensitivity products already adopted in DOTSTAR, a new way to identify the sensitive area for the targeted observation of tropical cyclones based on the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (NCAR) Mesoscale Model (MM5) is proposed in this paper. By appropriately defining the response functions to represent the steering flow at the verifying time, a simple vector, adjoint-derived sensitivity steering vector (ADSSV), has been designed to demonstrate the sensitivity locations and the critical direction of typhoon steering flow at the observing time. Typhoons Meari and Mindulle of 2004 have been selected to show the use of ADSSV. In general, unique sensitive areas 36 h after the observing time are obtained. The proposed ADSSV method is also used to demonstrate the signal of the binary interaction between Typhoons Fungwong and Fengshen (2002). The ADSSV is implemented and examined in the field project, DOTSTAR, in 2005 as well as in the surveillance mission for Atlantic hurricanes conducted by the Hurricane Research Division. Further analysis of the results will be vital to validate the use of ADSSV.
SDGs

[SDGs]SDG14

Type
conference paper

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