Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability

Hail precipitation is characterized by enhanced spatial and temporal variability. Association Nationale d’Etude et de Lutte contre les Fléaux Atmosphériques (ANELFA) installed hailpad networks in the Atlantic and Midi-Pyrénées regions of France. Historical data of hail variables from 1990 to 2010 we...

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Main Authors: Lucía Hermida, José Luis Sánchez, Laura López, Claude Berthet, Jean Dessens, Eduardo García-Ortega, Andrés Merino
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/494971
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spelling doaj-c6ed78f534a042f9b94b3081c4f53cd02020-11-24T22:09:54ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/494971494971Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal VariabilityLucía Hermida0José Luis Sánchez1Laura López2Claude Berthet3Jean Dessens4Eduardo García-Ortega5Andrés Merino6Group of Atmospheric Physics, IMA, University of León, 24071 León, SpainGroup of Atmospheric Physics, IMA, University of León, 24071 León, SpainGroup of Atmospheric Physics, IMA, University of León, 24071 León, SpainAnelfa, 52 rue Alfred Duméril, 31400 Toulouse, FranceAnelfa, 52 rue Alfred Duméril, 31400 Toulouse, FranceGroup of Atmospheric Physics, IMA, University of León, 24071 León, SpainGroup of Atmospheric Physics, IMA, University of León, 24071 León, SpainHail precipitation is characterized by enhanced spatial and temporal variability. Association Nationale d’Etude et de Lutte contre les Fléaux Atmosphériques (ANELFA) installed hailpad networks in the Atlantic and Midi-Pyrénées regions of France. Historical data of hail variables from 1990 to 2010 were used to characterize variability. A total of 443 stations with continuous records were chosen to obtain a first approximation of areas most affected by hail. The Cressman method was selected for this purpose. It was possible to find relationships between spatial distributions of the variables, which are supported by obtained Pearson correlations. Monthly and annual trends were examined using the Mann-Kendall test for each of the total affected hailpads. There were 154 pads with a positive trend; most were located between Tarbes and Saint-Gaudens. We found 177 pads with a negative trend, which were largely south of a pine forest in Landes. The remainder of the study area showed an elevated spatial variability with no pattern, even between relatively close hailpads. A similar pattern was found in Lérida (Spain) and Southeast France. In the entire area, monthly trends were predominantly negative in June, July, and August, whereas May had a positive trend; again, however, there was no spatial pattern. There was a high concentration of hailpads with positive trend near the Pyrenees, probably owing to orographic effects, and if we apply cluster analysis with the Mann-Kendall values, the spatial variability is accentuated for stations at higher altitude.http://dx.doi.org/10.1155/2013/494971
collection DOAJ
language English
format Article
sources DOAJ
author Lucía Hermida
José Luis Sánchez
Laura López
Claude Berthet
Jean Dessens
Eduardo García-Ortega
Andrés Merino
spellingShingle Lucía Hermida
José Luis Sánchez
Laura López
Claude Berthet
Jean Dessens
Eduardo García-Ortega
Andrés Merino
Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
The Scientific World Journal
author_facet Lucía Hermida
José Luis Sánchez
Laura López
Claude Berthet
Jean Dessens
Eduardo García-Ortega
Andrés Merino
author_sort Lucía Hermida
title Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
title_short Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
title_full Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
title_fullStr Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
title_full_unstemmed Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
title_sort climatic trends in hail precipitation in france: spatial, altitudinal, and temporal variability
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description Hail precipitation is characterized by enhanced spatial and temporal variability. Association Nationale d’Etude et de Lutte contre les Fléaux Atmosphériques (ANELFA) installed hailpad networks in the Atlantic and Midi-Pyrénées regions of France. Historical data of hail variables from 1990 to 2010 were used to characterize variability. A total of 443 stations with continuous records were chosen to obtain a first approximation of areas most affected by hail. The Cressman method was selected for this purpose. It was possible to find relationships between spatial distributions of the variables, which are supported by obtained Pearson correlations. Monthly and annual trends were examined using the Mann-Kendall test for each of the total affected hailpads. There were 154 pads with a positive trend; most were located between Tarbes and Saint-Gaudens. We found 177 pads with a negative trend, which were largely south of a pine forest in Landes. The remainder of the study area showed an elevated spatial variability with no pattern, even between relatively close hailpads. A similar pattern was found in Lérida (Spain) and Southeast France. In the entire area, monthly trends were predominantly negative in June, July, and August, whereas May had a positive trend; again, however, there was no spatial pattern. There was a high concentration of hailpads with positive trend near the Pyrenees, probably owing to orographic effects, and if we apply cluster analysis with the Mann-Kendall values, the spatial variability is accentuated for stations at higher altitude.
url http://dx.doi.org/10.1155/2013/494971
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