Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends
21 Pags.- 11 Figs.- 3 Tabls. Data availability: No datasets were generated or analysed during the current study. © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License.
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/393980 |
| Acceso en línea: | http://hdl.handle.net/10261/393980 |
| Access Level: | acceso abierto |
| Palabra clave: | Extreme precipitation Trend analysis Climate change Non-stationary extreme value theory Peaks over threshold Atmospheric dynamics Spain http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts precipitation intensity climatic data climate change atmospheric circulation |
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Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trendsBeguería, SantiagoTomás-Burguera, MiquelSerrano-Notivoli, RobertoBarriopedro, DavidVicente Serrano, Sergio M.Extreme precipitationTrend analysisClimate changeNon-stationary extreme value theoryPeaks over thresholdAtmospheric dynamicsSpainhttp://metadata.un.org/sdg/13Take urgent action to combat climate change and its impactsprecipitation intensityclimatic dataclimate changeatmospheric circulation21 Pags.- 11 Figs.- 3 Tabls. Data availability: No datasets were generated or analysed during the current study. © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License.The analysis of temporal changes in extreme event attributes, specifically magnitude and frequency, is hindered by the rarity and exceptional nature of the events being studied. The non-stationary extreme value theory (NSEVT) provides a well-established framework for assessing how extreme event probabilities vary as a function of one or more covariates. This study employs NSEVT to investigate the recent evolution and primary drivers of extreme precipitation in Spain, utilizing indices of three large-scale modes of atmospheric circulation and time as covariates. A non-stationary peaks-over-threshold model is applied to an observational network comprising 341 weather stations over the period 1951–2020. The results demonstrate that a multivariate model accounting for the influences of all covariates fits the data significantly better than simpler, univariate and stationary models in the majority of stations. The multivariate model effectively captures the spatial and temporal marginal influences of atmospheric dynamics on the magnitude-frequency relationship of different attributes of extreme precipitation events, including daily peak intensity and accumulated event precipitation. In contrast, the marginal influence of time is relatively small and sparse, lacking a spatially coherent pattern. Notably, the multivariate model reveals larger temporal influences than those inferred from the univariate model, with more stations displaying significant decreases than increases in extreme precipitation event attributes. These findings highlight the importance of considering multiple covariates and non-stationarity when analyzing temporal changes in extreme events.This research work has been funded by the Spanish National Research Agency (MCIN/AEI) through project PID2020-116860RB-C22 and R.S.-N. personal grant RYC2021-034330-I, by the European Commission - NextGenerationEU (Regulation EU 2020/2094) through CSIC’s Interdisciplinary Thematic Platform “Clima (PTI Clima) / Development of Operational Climate Services”, and by Aragón Government through grant E02-20R.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.Peer reviewedSpringerAgencia Estatal de Investigación (España)Ministerio de Ciencia e Innovación (España)European CommissionGobierno de AragónBeguería, Santiago [0000-0002-3974-2947]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/393980reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1007/s00477-025-02961-xSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3939802026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| title |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| spellingShingle |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends Beguería, Santiago Extreme precipitation Trend analysis Climate change Non-stationary extreme value theory Peaks over threshold Atmospheric dynamics Spain http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts precipitation intensity climatic data climate change atmospheric circulation |
| title_short |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| title_full |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| title_fullStr |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| title_full_unstemmed |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| title_sort |
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends |
| dc.creator.none.fl_str_mv |
Beguería, Santiago Tomás-Burguera, Miquel Serrano-Notivoli, Roberto Barriopedro, David Vicente Serrano, Sergio M. |
| author |
Beguería, Santiago |
| author_facet |
Beguería, Santiago Tomás-Burguera, Miquel Serrano-Notivoli, Roberto Barriopedro, David Vicente Serrano, Sergio M. |
| author_role |
author |
| author2 |
Tomás-Burguera, Miquel Serrano-Notivoli, Roberto Barriopedro, David Vicente Serrano, Sergio M. |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Agencia Estatal de Investigación (España) Ministerio de Ciencia e Innovación (España) European Commission Gobierno de Aragón Beguería, Santiago [0000-0002-3974-2947] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Extreme precipitation Trend analysis Climate change Non-stationary extreme value theory Peaks over threshold Atmospheric dynamics Spain http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts precipitation intensity climatic data climate change atmospheric circulation |
| topic |
Extreme precipitation Trend analysis Climate change Non-stationary extreme value theory Peaks over threshold Atmospheric dynamics Spain http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts precipitation intensity climatic data climate change atmospheric circulation |
| description |
21 Pags.- 11 Figs.- 3 Tabls. Data availability: No datasets were generated or analysed during the current study. © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/393980 |
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http://hdl.handle.net/10261/393980 |
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Inglés |
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Inglés |
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https://doi.org/10.1007/s00477-025-02961-x Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Springer |
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Springer |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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