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...
Main Authors: | , , , , , , |
---|---|
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 |
id |
doaj-c6ed78f534a042f9b94b3081c4f53cd0 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT luciahermida climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability AT joseluissanchez climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability AT lauralopez climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability AT claudeberthet climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability AT jeandessens climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability AT eduardogarciaortega climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability AT andresmerino climatictrendsinhailprecipitationinfrancespatialaltitudinalandtemporalvariability |
_version_ |
1725810203339784192 |