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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2010_JWM.pdf | 176,61 kB | Adobe PDF | View/Open |
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