DocumentCode
2447405
Title
Application of TCFM cloud motion wind data in the analysis study of Typhoon Morakot(0908)
Author
Wang, Zhenhui ; Zhang, Lei
Author_Institution
Key Lab. of Meteorol. Disaster of Minist. of Educ. KLME, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1987
Lastpage
1990
Abstract
TCFM cloud motion wind technique is a new technique for tracking cloud with combination of Fourier phase analysis and maximum correlation (TCFM) to improve the precision of cloud tracking. In this article, TCFM technique is employed to retrieve cloud motion vectors for severe tropical storm “Morakot” from geostationary meteorological satellite FY-2C image series with a 30min interval on August, 2009. The retrieved data are assimilated at 1h interval into the numerical model ARPS (the Advanced Regional Prediction System) by means of its data analysis system ADAS for forecasting, and the first six hours before landing process of Typhoon “Morakot” was simulated. By comparison the result with sounding data assimilated into the initial field, concluded that the simulation result of continuous assimilation of the TCFM data shows a strong advantage in the forecast of storms and precipitation in the typhoon eye wall region.
Keywords
clouds; storms; weather forecasting; AD 2009 08; Advanced Regional Prediction System; Fourier phase analysis; TCFM cloud motion wind data; TCFM cloud motion wind technique; cloud tracking technique; data analysis system; geostationary meteorological satellite; maximum correlation; sounding data; typhoon Morakot; typhoon eye wall region; Clouds; Meteorology; Remote sensing; Satellite broadcasting; Satellites; Tracking; Typhoons; TCFM technique; cloud motion vectors; data assimilation; typhoon simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5964692
Filename
5964692
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