Return periods of severe hailfalls computed from hailpad data

被引:33
|
作者
Fraile, R
Berthet, C
Dessens, J
Sánchez, JL
机构
[1] Univ Leon, Lab Fis Atmosfera, E-24071 Leon, Spain
[2] Assoc Natl Etud & Lutte Fleaux Atmospher, Toulouse, France
[3] Univ Toulouse 1, Lab Aerol, UMR CNRS, UPS 5560, F-31042 Toulouse, France
关键词
hail; hailfall; climatology; return period;
D O I
10.1016/S0169-8095(03)00051-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Hail is an important economic problem in several countries, and there would be a need for climatological studies not limited to general data such as space and time frequencies of ordinary hailfalls. A large network of hailpad stations, which operated continuously in southwestern France since 1988, gives the first opportunity to compute return periods of very severe point hailfalls characterized either by the total kinetic energy of hailstones or by the diameter of the largest hailstones. The Gumbel distribution has been used to represent the probability density function of the maximum annual value of these two parameters. Preliminary results indicate that the area located just north of the central Pyrenees is three times more exposed to damaging hailfalls than the Atlantic border. The results show that the computation of an areal return period depends upon the hailpad network density, which makes data normalization necessary for inter-network comparisons. This study also offers the possibility of determining return periods of severe hailfalls at a point. As an example, a provisional estimation indicates that a hailfall with hailstones of 3-4 cm diameter occurs every 22 years at any point in the hail core region north of the Pyrenees. The hope is that this study may be progressively expanded to other European hailed regions in which similar hailpad networks are in operation. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:189 / 202
页数:14
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