contributor author | Lakshmanan, Valliappa | |
contributor author | Herzog, Benjamin | |
contributor author | Kingfield, Darrel | |
date accessioned | 2017-06-09T16:50:27Z | |
date available | 2017-06-09T16:50:27Z | |
date copyright | 2015/02/01 | |
date issued | 2014 | |
identifier issn | 1558-8424 | |
identifier other | ams-75087.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4217384 | |
description abstract | lthough existing algorithms for storm tracking have been designed to operate in real time, they are also commonly used to do postevent data analysis and research. Real-time algorithms cannot use information on the subsequent positions of a storm because it is not available at the time that associations between frames are made, but postevent analysis is not similarly constrained. Therefore, it should be possible to obtain better tracks for postevent analysis than those that a real-time algorithm is capable of producing. In this paper, a statistical procedure for determining storm tracks from a set of identified storm cells over time is described. It is found that this procedure results in fewer, longer-lived tracks at the potential cost of a small increase in positional error. | |
publisher | American Meteorological Society | |
title | A Method for Extracting Postevent Storm Tracks | |
type | Journal Paper | |
journal volume | 54 | |
journal issue | 2 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-14-0132.1 | |
journal fristpage | 451 | |
journal lastpage | 462 | |
tree | Journal of Applied Meteorology and Climatology:;2014:;volume( 054 ):;issue: 002 | |
contenttype | Fulltext | |