contributor author | Kitzmiller, David H. | |
contributor author | McGovern, Wayne E. | |
contributor author | Saffle, Robert F. | |
date accessioned | 2017-06-09T14:50:02Z | |
date available | 2017-06-09T14:50:02Z | |
date copyright | 1995/03/01 | |
date issued | 1995 | |
identifier issn | 0882-8156 | |
identifier other | ams-2779.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4164833 | |
description abstract | The WSR-88D severe weather potential (SWP) algorithm is an automated procedure for the detection of severe local storms. The algorithm identifies individual thunderstorm cells within radar imagery and, for each cell, yields an index proportional to the probability that the cell will shortly produce damaging surface winds, large hail, or tornadoes. This index is a statistically derived function of the storm's maximum vertically integrated liquid (VIL) and horizontal areal extent. The correlation between these storm characteristics and severe weather occurrence was first documented in the 1970s. Several National Weather Service field offices in the central plains and Northeast regions of the United States have successfully used VIL as a discriminator between severe and nonsevere thunderstorms. This paper describes the observational data and statistical methodology employed in the development of the SWP algorithm, and regional and seasonal variations in the SWP/severe weather relationship. The expected operational performance of the algorithm, in terms of probability of detection and false alarm ratio, is also documented. | |
publisher | American Meteorological Society | |
title | The WSR-88D Severe Weather Potential Algorithm | |
type | Journal Paper | |
journal volume | 10 | |
journal issue | 1 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/1520-0434(1995)010<0141:TWSWPA>2.0.CO;2 | |
journal fristpage | 141 | |
journal lastpage | 159 | |
tree | Weather and Forecasting:;1995:;volume( 010 ):;issue: 001 | |
contenttype | Fulltext | |