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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 20...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835842/ https://www.ncbi.nlm.nih.gov/pubmed/24307872 http://dx.doi.org/10.1155/2013/494971 |
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author | Hermida, Lucía Sánchez, José Luis López, Laura Berthet, Claude Dessens, Jean García-Ortega, Eduardo Merino, Andrés |
author_facet | Hermida, Lucía Sánchez, José Luis López, Laura Berthet, Claude Dessens, Jean García-Ortega, Eduardo Merino, Andrés |
author_sort | Hermida, Lucía |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-3835842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38358422013-12-04 Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability Hermida, Lucía Sánchez, José Luis López, Laura Berthet, Claude Dessens, Jean García-Ortega, Eduardo Merino, Andrés ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2013-11-02 /pmc/articles/PMC3835842/ /pubmed/24307872 http://dx.doi.org/10.1155/2013/494971 Text en Copyright © 2013 Lucía Hermida et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hermida, Lucía Sánchez, José Luis López, Laura Berthet, Claude Dessens, Jean García-Ortega, Eduardo Merino, Andrés Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835842/ https://www.ncbi.nlm.nih.gov/pubmed/24307872 http://dx.doi.org/10.1155/2013/494971 |
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