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Hailfall in southwest France: Relationship with precipitation, trends and wavelet analysis

  • Lucía Hermida
  • , Laura López
  • , Andrés Merino
  • , Claude Berthet
  • , Eduardo García-Ortega
  • , José Luis Sánchez
  • , Jean Dessens

Research output: Contribution to journalArticlepeer-review

Abstract

Precipitation in southwestern France was analyzed. Monthly rainfall data from the Global Precipitation Climatology Centre (GPCC) were used to obtain three clusters of average precipitation from May through September for the period 1901–2010. We attempt to understand the role of hailfalls in total precipitation using three different variables related to hail, the number of hail days, hail frequency, and intensity. We examine trends via the Mann–Kendall test and periodicities by wavelet analysis. The results show cluster classification of precipitation to be somewhat consistent with hailpad networks in the study area. In the Pyrenees, there was a non-significant negative trend of precipitation and a substantial increase of hail days and intensity of hail, which were close to the limit of significance. Finally, a wavelet coherence analysis shows a strong influence of the North Atlantic Oscillation (NAO) in the Atlantic region.
Original languageEnglish
Pages (from-to)174-188
JournalAtmospheric Research
Volume156
DOIs
Publication statusPublished - 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Hail
  • Wavelet
  • Precipitation
  • Cluster
  • Trend
  • NAO

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