Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1213
Title: Maximum Hail Size Prediction
Authors: Tsagalidis, Evangelos
Tsitouridis, Kyriakos
Evangelidis, Georgios
Dervos, Dimitris A.
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Issue Date: 2010
Source: The Journal of Weather Modification
Volume: 42
Issue: 1
First Page: 7
Last Page: 12
Abstract: We examine the possibility of building a meteorological prediction tool using data from the Greek National Hail Suppression Program. More specifically, we focus on maximum hail size prediction from operational meteorological radar and/or sounding data. Factor analysis and linear regression are applied in order to identify the optimum number of independent variables and the sequence to build the corresponding meteorological tool. A significant linear relationship is discovered for non-seeded storms relating hail size to various radar parameters, such as the Reflectivity or the group of Vertically integrated liquid density and Cloud top. A relationship for predicting hail size using radar parameters for seeded storms failed to be statistically significant.
URI: https://www.journalofweathermodification.org/index.php/JWM/article/view/157
https://ruomo.lib.uom.gr/handle/7000/1213
Appears in Collections:Department of Applied Informatics

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