Accession Number : ADA131826

Title :   Mesocyclone Detection and Classification Algorithm.

Descriptive Note : Technical rept.,

Corporate Author : SYSTEMS AND APPLIED SCIENCES CORP RIVERDALE MD

Personal Author(s) : Wieler,James G ; Donaldson,Ralph J , Jr

PDF Url : ADA131826

Report Date : Jun 1983

Pagination or Media Count : 7

Abstract : A proposed four-dimensional algorithm for automated detection of mesocyclones employs resolution-dependent thresholds of rotational velocity and shear. This algorithm incorporates complementary features of earlier techniques suggested by Hennington and Burgess and by Forsyth, Bjerkaas and Petrocchi. Classification of mesocyclones by calculation of total rotational kinetic energy is proposed as a possible means for early assessment of the destructive energy of the resultant tornado. (Author)

Descriptors :   *CYCLONES, *ALGORITHMS, DETECTION, CLASSIFICATION, TORNADOES, WEATHER FORECASTING, WIND SHEAR, PATTERN RECOGNITION

Subject Categories : Meteorology
      Theoretical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE