Hail potential in Europe based on a regional climate model hindcast

被引:30
作者
Mohr, S. [1 ,2 ,3 ]
Kunz, M. [1 ,2 ,3 ]
Geyer, B. [4 ]
机构
[1] Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK TRO, D-76021 Karlsruhe, Germany
[2] Ctr Disaster Management & Risk Reduct Technol, Karlsruhe, Germany
[3] Ctr Disaster Management & Risk Reduct Technol, Potsdam, Germany
[4] Helmholtz Zentrum Geesthacht Ctr Mat & Coastal Re, Geesthacht, Germany
关键词
hail; thunderstorm; logistic regression; Europe; climate variability; temporal variability; FRIULI VENEZIA GIULIA; SPAIN; INDEXES; GERMANY; TORNADO; SERIES;
D O I
10.1002/2015GL067118
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Due to the local-scale nature of hail and a lack of appropriate observation systems, comprehensive, reliable, and consistent information about hail frequency and intensity in Europe is not available. To overcome this constraint, we developed a logistic hail model that quantifies the potential of the atmosphere to form hailstorms. The model is based on a combination of appropriate hail-relevant meteorological parameters. This paper presents the application of an adjusted version of the logistic model with the objective being to estimate the hail potential across Europe based on dynamically downscaled National Centers for Environmental Prediction/National Center for Atmospheric Research1 reanalysis over a long-term period of 60years (1951-2010). The model output, in terms of the potential hail index (PHI), identified several hot spots that are well known from other observational studies. Time series of the PHI over the 60 year period show a high correlation at different sites across Europe and high annual and multiannual variability, but no overall trend.
引用
收藏
页码:10904 / 10912
页数:9
相关论文
共 45 条
[1]   Influence of the El Nino/Southern Oscillation on tornado and hail frequency in the United States [J].
Allen, John T. ;
Tippett, Michael K. ;
Sobel, Adam H. .
NATURE GEOSCIENCE, 2015, 8 (04) :278-283
[2]   A European lightning density analysis using 5 years of ATDnet data [J].
Anderson, G. ;
Klugmann, D. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2014, 14 (04) :815-829
[3]   Hail occurrence in Italy: Towards a national database and climatology [J].
Baldi, Marina ;
Ciardini, Virginia ;
Dalu, John David ;
De Filippis, Tiziana ;
Maracchi, Gianpiero ;
Dalu, Giovanni .
ATMOSPHERIC RESEARCH, 2014, 138 :268-277
[4]   Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe [J].
Bedka, Kristopher M. .
ATMOSPHERIC RESEARCH, 2011, 99 (02) :175-189
[5]   Regional and yearly variations of hail frequency and intensity in France [J].
Berthet, C. ;
Dessens, J. ;
Sanchez, J. L. .
ATMOSPHERIC RESEARCH, 2011, 100 (04) :391-400
[6]   The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data [J].
Brooks, HE ;
Lee, JW ;
Craven, JP .
ATMOSPHERIC RESEARCH, 2003, 67-8 :73-94
[7]  
Ceperuelo M., 2009, ATMOS RES, V93, P474
[8]   REGIONAL CLIMATE MODELS ADD VALUE TO GLOBAL MODEL DATA A Review and Selected Examples [J].
Feser, Frauke ;
Rockel, Burkhardt ;
von Storch, Hans ;
Winterfeldt, Joerg ;
Zahn, Matthias .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (09) :1181-1192
[9]  
Fluck E., 2015, EGU GEN ASS C VIENN, V17
[10]   Atmospheric patterns associated with hailstorm days in the Ebro Valley, Spain [J].
Garcia-Ortega, E. ;
Lopez, L. ;
Sanchez, J. L. .
ATMOSPHERIC RESEARCH, 2011, 100 (04) :401-427