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Titolo:
The Storm-Structure-Severity method for the identification of convective storm characteristics with conventional weather radar
Autore:
Visser, PJM;
Indirizzi:
S African Weather Bur, Bethlehem Precipitat Res Project, ZA-9700 Bethlehem, South Africa S African Weather Bur Bethlehem South Africa ZA-9700 lehem, South Africa
Titolo Testata:
METEOROLOGICAL APPLICATIONS
fascicolo: 1, volume: 8, anno: 2001,
pagine: 1 - 10
SICI:
1350-4827(200103)8:1<1:TSMFTI>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
POTENTIAL ALGORITHM; HAIL FORMATION; THUNDERSTORM; REFLECTIVITY; PROBABILITY; INDICATOR;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
32
Recensione:
Indirizzi per estratti:
Indirizzo: Visser, PJM S African Weather Bur, Bethlehem Precipitat Res Project, Private Bag X15, ZA-9700 Bethlehem, South Africa S African Weather Bur Private Bag X15 Bethlehem South Africa ZA-9700
Citazione:
P.J.M. Visser, "The Storm-Structure-Severity method for the identification of convective storm characteristics with conventional weather radar", METEOROL AP, 8(1), 2001, pp. 1-10

Abstract

Radar reflectivity information is often displayed in two dimensions, making it difficult to extract the structural characteristics of convective storms. The maximum radar reflectivity and the vertical profile of liquid waterdistribution in a vertical column of a convective cell is used to determine a structural and intensity classification of the cell. The application ofthis Storm-Structure-Severity classification is demonstrated by investigating a tornado event on 15 November 1998 in Harrismith, South Africa, by using volume-scanned reflectivity data from the S-band MRL-5 radar. The regions of convective development, decay and mesocyclone evolution are identifiedwith this classification. The method is able to extract the three-dimensional structural information of convective storms embedded in volume-scanned data and present it in a simple display format.

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Documento generato il 23/01/21 alle ore 03:10:01