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contributor authorUyeda, Hiroshi
contributor authorZrnić, Dusan S.
date accessioned2017-06-09T14:19:33Z
date available2017-06-09T14:19:33Z
date copyright1986/03/01
date issued1986
identifier issn0739-0572
identifier otherams-173.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4153178
description abstractWe have developed a procedure that detects and tracks gust fronts automatically. It does not rely on a single method but requires simultaneous operation of two related algorithms. The convergence algorithm measures radial convergence and hence only gusts propagating along radials can be readily detected. The mesocyclone-shear algorithm measures azimuthal shear and is suitable for detecting gusts parallel with radials as well as low-level vortices. Long shear lines that these algorithms detect are classified as gusts whereas symmetric shear features are rejected if their shear and flux or ?momentum? are insignificant; otherwise they are classified as low-level vortices. To locate gusts we use second-order polynomials in the range-azimuth plane. It is shown that predicted gust locations from simple linear projections of the least square fitted curves agree very well with actual gust locations.
publisherAmerican Meteorological Society
titleAutomatic Detection of Gust Fronts
typeJournal Paper
journal volume3
journal issue1
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/1520-0426(1986)003<0036:ADOGF>2.0.CO;2
journal fristpage36
journal lastpage50
treeJournal of Atmospheric and Oceanic Technology:;1986:;volume( 003 ):;issue: 001
contenttypeFulltext


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