NDLI: Identification of gale weather with doppler weather radar data

Content Provider	IEEE Xplore Digital Library
Author	Jinlian Zhou Ming Wei Tao Wu Nan Li
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Meteorological Disaster of Ministry of Education, NUIST, Nanjing, China (Jinlian Zhou; Ming Wei; Nan Li) \|\| Wuhan Central Meteorological Observatory, China (Tao Wu)
Abstract	With high temporal and spatial resolution, Doppler weather radars are important means for revealing structures and revolution of meso-micro scale weather processes. This article uses reflectivity characteristics to identify convective gale weather. 6 promising identification parameters are proposed (CR, VIL, DVIL, SWP, DCRH and SPEED), and an automated identification algorithm for convective gale is established based on fuzzy logic principles. 6 typical cases are used to obtain probability distribution characters based on the statistics of volume scan data, and then it is determined that CR, VIL, DVIL and SWP that have more concentrated probability densities are used as the input variables of the fuzzy logic technique for the identification of the convective gale. According to the statistics, these parameters can effectively identify convective gale. The algorithm identifies 150 from 174 gale wind events in 6 weather processes, with a POD probability 86.21%.
Starting Page	6033
Ending Page	6036
File Size	415234
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5965731
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Fuzzy logic Meteorological radar Storms Probability densities The fuzzy logic method Doppler radar Convective scale weather Doppler weather radar
Content Type	Text
Resource Type	Article

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