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The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm

The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm Accurate storm identification and tracking are basic and essential parts of radar and severe weather warning operations in today’’s operational meteorological community. Improvements over the original WSR-88D storm series algorithm have been made with the Storm Cell Identification and Tracking algorithm (SCIT). This paper discusses the SCIT algorithm, a centroid tracking algorithm with improved methods of identifying storms (both isolated and clustered or line storms). In an analysis of 6561 storm cells, the SCIT algorithm correctly identified 68%% of all cells with maximum reflectivities over 40 dB Z and 96%% of all cells with maximum reflectivities of 50 dB Z or greater. The WSR-88D storm series algorithm performed at 24%% and 41%%, respectively, for the same dataset. With better identification performance, the potential exists for better and more accurate tracking information. The SCIT algorithm tracked greater than 90%% of all storm cells correctly. The algorithm techniques and results of a detailed performance evaluation are presented. This algorithm was included in the WSR-88D Build 9.0 of the Radar Products Generator software during late 1996 and early 1997. It is hoped that this paper will give new users of the algorithm sufficient background information to use the algorithm with confidence. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Weather and Forecasting American Meteorological Society

The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm

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References (18)

Publisher
American Meteorological Society
Copyright
Copyright © 1997 American Meteorological Society
ISSN
1520-0434
DOI
10.1175/1520-0434(1998)013<0263:TSCIAT>2.0.CO;2
Publisher site
See Article on Publisher Site

Abstract

Accurate storm identification and tracking are basic and essential parts of radar and severe weather warning operations in today’’s operational meteorological community. Improvements over the original WSR-88D storm series algorithm have been made with the Storm Cell Identification and Tracking algorithm (SCIT). This paper discusses the SCIT algorithm, a centroid tracking algorithm with improved methods of identifying storms (both isolated and clustered or line storms). In an analysis of 6561 storm cells, the SCIT algorithm correctly identified 68%% of all cells with maximum reflectivities over 40 dB Z and 96%% of all cells with maximum reflectivities of 50 dB Z or greater. The WSR-88D storm series algorithm performed at 24%% and 41%%, respectively, for the same dataset. With better identification performance, the potential exists for better and more accurate tracking information. The SCIT algorithm tracked greater than 90%% of all storm cells correctly. The algorithm techniques and results of a detailed performance evaluation are presented. This algorithm was included in the WSR-88D Build 9.0 of the Radar Products Generator software during late 1996 and early 1997. It is hoped that this paper will give new users of the algorithm sufficient background information to use the algorithm with confidence.

Journal

Weather and Forecasting – American Meteorological Society

Published: Feb 28, 1997

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