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contributor authorDixon, Michael
contributor authorWiener, Gerry
date accessioned2017-06-09T17:26:05Z
date available2017-06-09T17:26:05Z
date copyright1993/12/01
date issued1993
identifier issn0739-0572
identifier otherams-852.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228622
description abstractA methodology is presented for the real-time automated identification, tracking, and short-term forecasting of thunderstorms based on volume-scan weather radar data. The emphasis is on the concepts upon which the methodology is based. A ?storm? is defined as a contiguous region exceeding thresholds for reflectivity and size. Storms defined in this way are identified at discrete time intervals. An optimization scheme is employed to match the storms at one time with those at the following time, with some geometric logic to deal with mergers and splits. The short-term forecast of both position and size is based on a weighted linear fit to the storm track history data. The performance of the detection and forecast were evaluated for the summer 1991 season, and the results are presented.
publisherAmerican Meteorological Society
titleTITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A Radar-based Methodology
typeJournal Paper
journal volume10
journal issue6
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/1520-0426(1993)010<0785:TTITAA>2.0.CO;2
journal fristpage785
journal lastpage797
treeJournal of Atmospheric and Oceanic Technology:;1993:;volume( 010 ):;issue: 006
contenttypeFulltext


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