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dc.contributor.authorAlmendra Martín, Laura 
dc.contributor.authorMartínez Fernández, José 
dc.contributor.authorPiles, María
dc.contributor.authorGonzález Zamora, Ángel 
dc.contributor.authorBenito-Verdugo, Pilar
dc.contributor.authorGaona, Jaime
dc.date.accessioned2024-11-29T12:54:19Z
dc.date.available2024-11-29T12:54:19Z
dc.date.issued2022
dc.identifier.citationAlmendra-Martín, L., Martínez-Fernández, J., Piles, M., González-Zamora, Á., Benito-Verdugo, P., & Gaona, J. (2022). Influence of atmospheric patterns on soil moisture dynamics in Europe. Science of The Total Environment, 846, 157537.es_ES
dc.identifier.issn0048-9697
dc.identifier.issn1879-1026
dc.identifier.urihttp://hdl.handle.net/10366/160846
dc.description.abstract[EN] Soil moisture (SM) plays a key role in the water cycle, and its variability is intimately linked to coupled landatmosphere processes. Having a good knowledge of soil-atmospheric interactions is thus essential to assess the impact of climate change on SM; however,many aspects of howwater and energy exchanges occur in the soil-atmosphere continuum are still uncertain. In particular, it is known that atmospheric circulation patterns influence climate conditions over Europe but their impact on SM has only rarely been studied. This study provides insight into how atmospheric patterns influence soil moisture dynamics in Europe, where an increase in temperature and agricultural droughts are expected as an impact of climate change. To do so, we analysed the influence of the North Atlantic Oscillation (NAO), the Arctic Oscillation (AO), and the El Niño Southern Oscillation (ENSO) on European SM, including lagged responses, for the period 1991–2020 at a monthly scale. Two methods have been used: a lagged correlation analysis and a more sophisticated causality approach using the PCMCI (PC method combined with themomentary conditional independence (MCI) test). SMseries fromtwo different databases were considered: the hydrological model LISFLOOD and the reanalysis dataset ERA5-Land. The results from the correlation analysis showed a significant, predominantly negative relationships of SM with NAO and AO over almost all of Europe and no significant relation with ENSO. With the causality analysis, similar patterns are obtained for NAO and AO; however, the PCMCI analysis revealed clear patterns of ENSO influencing SM with a delayed response of one-to-two months in central and northwest Europe. The results obtained in this work highlight that there are causal relations between the main modes of interannual climate oscillations and SM variations in Europe, underlining the importance of accounting for global atmospheric circulations to study current changes in regional soil water-related processeses_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHumedades_ES
dc.subjectClimaes_ES
dc.subjectCambioses_ES
dc.titleInfluence of atmospheric patterns on soil moisture dynamics in Europees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.scitotenv.2022.157537es_ES
dc.subject.unesco2501 Ciencias de la Atmósferaes_ES
dc.subject.unesco2502 Climatologíaes_ES
dc.subject.unesco2508 Hidrologíaes_ES
dc.identifier.doi10.1016/j.scitotenv.2022.157537
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleScience of The Total Environmentes_ES
dc.volume.number846es_ES
dc.page.initial157537es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.description.projectPublicación en abierto financiada por la Universidad de Salamanca como participante en el Acuerdo Transformativo CRUE-CSIC con Elsevier, 2021-2024es_ES


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