contributor author | Uyeda, Hiroshi | |
contributor author | Zrnić, Dusan S. | |
date accessioned | 2017-06-09T14:19:33Z | |
date available | 2017-06-09T14:19:33Z | |
date copyright | 1986/03/01 | |
date issued | 1986 | |
identifier issn | 0739-0572 | |
identifier other | ams-173.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4153178 | |
description abstract | We 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. | |
publisher | American Meteorological Society | |
title | Automatic Detection of Gust Fronts | |
type | Journal Paper | |
journal volume | 3 | |
journal issue | 1 | |
journal title | Journal of Atmospheric and Oceanic Technology | |
identifier doi | 10.1175/1520-0426(1986)003<0036:ADOGF>2.0.CO;2 | |
journal fristpage | 36 | |
journal lastpage | 50 | |
tree | Journal of Atmospheric and Oceanic Technology:;1986:;volume( 003 ):;issue: 001 | |
contenttype | Fulltext | |