DocumentCode :
71876
Title :
A New Satellite-Based Indicator for Estimation of the Western North Pacific Tropical Cyclone Current Intensity
Author :
Xiao-Yong Zhuge ; Jian Guan ; Fan Yu ; Yuan Wang
Author_Institution :
Key Lab. of Mesoscale Severe Weather of the Minist. of Educ., Nanjing Univ., Nanjing, China
Volume :
53
Issue :
10
fYear :
2015
fDate :
Oct. 2015
Firstpage :
5661
Lastpage :
5676
Abstract :
A technique to estimate tropical cyclone (TC) current intensity based on geostationary satellite infrared window (IRW) and water vapor (WV) imagery is explored in this paper. First, to combine the advantages of the IRW imagery and the WV minus IRW (WV-IRW) imagery, a WV-IRW-to-IRW ratio (WIRa)-based indicator is proposed. This indicator not only can display the inner-core convection´s symmetrization level and vigor but also is able to screen out thin cirrus, stratospheric WV anomaly, and overshooting tops from average deep convection. It is highly correlated with the best track minimum sea-level pressure and thus used to estimate the western North Pacific TC current intensity. Detailed analyses have demonstrated that the WIRa-based indicator can further improve the estimation of TC current intensity alongside the existing algorithms. The WIRa-based indicator is designed based on the hypothesis that “overshooting top is more useful for forecasting than initial estimation,” and the satisfying results of the WIRa-based method perhaps provide indirect evidence to support this hypothesis in turn.
Keywords :
oceanographic regions; remote sensing; storms; weather forecasting; IRW imagery; WIRa-based indicator; WNP tropical cyclone current intensity estimation; deep convection; geostationary satellite; infrared window; innercore convection symmetrization level; satellite-based indicator; sea-level pressure; stratospheric water vapor anomaly; water vapor imagery; western North Pacific; Aircraft; Clouds; Databases; Estimation; Reconnaissance; Satellites; Tropical cyclones; Meteorology; remote sensing; satellite applications; tropical cyclone;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2015.2427035
Filename :
7110578
Link To Document :
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