Weather regime dependence of extreme value statistics for summer temperature and precipitation
Extreme Value Theory (EVT) is a useful tool to describe the statistical properties of extreme events. Its underlying assumptions include some form of temporal stationarity in the data. Previous studies have been able to treat long-term trends in datasets, to obtain the time dependence of EVT paramet...
Published in: | Nonlinear Processes in Geophysics |
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ftcopernicus:oai:publications.copernicus.org:npg33469 2023-05-15T17:29:53+02:00 Weather regime dependence of extreme value statistics for summer temperature and precipitation Yiou, P. Goubanova, K. Li, Z. X. Nogaj, M. 2018-01-15 application/pdf https://doi.org/10.5194/npg-15-365-2008 https://npg.copernicus.org/articles/15/365/2008/ eng eng doi:10.5194/npg-15-365-2008 https://npg.copernicus.org/articles/15/365/2008/ eISSN: 1607-7946 Text 2018 ftcopernicus https://doi.org/10.5194/npg-15-365-2008 2020-07-20T16:26:55Z Extreme Value Theory (EVT) is a useful tool to describe the statistical properties of extreme events. Its underlying assumptions include some form of temporal stationarity in the data. Previous studies have been able to treat long-term trends in datasets, to obtain the time dependence of EVT parameters in a parametric form. Since there is also a dependence of surface temperature and precipitation to weather patterns obtained from pressure data, we determine the EVT parameters of those meteorological variables over France conditional to the occurrence of North Atlantic weather patterns in the summer. We use a clustering algorithm on geopotential height data over the North Atlantic to obtain those patterns. This approach refines the straightforward application of EVT on climate data by allowing us to assess the role of atmospheric variability on temperature and precipitation extreme parameters. This study also investigates the statistical robustness of this relation. Our results show how weather regimes can modulate the different behavior of mean climate variables and their extremes. Such a modulation can be very different for the mean and extreme precipitation. Text North Atlantic Copernicus Publications: E-Journals Nonlinear Processes in Geophysics 15 3 365 378 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
Extreme Value Theory (EVT) is a useful tool to describe the statistical properties of extreme events. Its underlying assumptions include some form of temporal stationarity in the data. Previous studies have been able to treat long-term trends in datasets, to obtain the time dependence of EVT parameters in a parametric form. Since there is also a dependence of surface temperature and precipitation to weather patterns obtained from pressure data, we determine the EVT parameters of those meteorological variables over France conditional to the occurrence of North Atlantic weather patterns in the summer. We use a clustering algorithm on geopotential height data over the North Atlantic to obtain those patterns. This approach refines the straightforward application of EVT on climate data by allowing us to assess the role of atmospheric variability on temperature and precipitation extreme parameters. This study also investigates the statistical robustness of this relation. Our results show how weather regimes can modulate the different behavior of mean climate variables and their extremes. Such a modulation can be very different for the mean and extreme precipitation. |
format |
Text |
author |
Yiou, P. Goubanova, K. Li, Z. X. Nogaj, M. |
spellingShingle |
Yiou, P. Goubanova, K. Li, Z. X. Nogaj, M. Weather regime dependence of extreme value statistics for summer temperature and precipitation |
author_facet |
Yiou, P. Goubanova, K. Li, Z. X. Nogaj, M. |
author_sort |
Yiou, P. |
title |
Weather regime dependence of extreme value statistics for summer temperature and precipitation |
title_short |
Weather regime dependence of extreme value statistics for summer temperature and precipitation |
title_full |
Weather regime dependence of extreme value statistics for summer temperature and precipitation |
title_fullStr |
Weather regime dependence of extreme value statistics for summer temperature and precipitation |
title_full_unstemmed |
Weather regime dependence of extreme value statistics for summer temperature and precipitation |
title_sort |
weather regime dependence of extreme value statistics for summer temperature and precipitation |
publishDate |
2018 |
url |
https://doi.org/10.5194/npg-15-365-2008 https://npg.copernicus.org/articles/15/365/2008/ |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
eISSN: 1607-7946 |
op_relation |
doi:10.5194/npg-15-365-2008 https://npg.copernicus.org/articles/15/365/2008/ |
op_doi |
https://doi.org/10.5194/npg-15-365-2008 |
container_title |
Nonlinear Processes in Geophysics |
container_volume |
15 |
container_issue |
3 |
container_start_page |
365 |
op_container_end_page |
378 |
_version_ |
1766125115283603456 |