2026-09-15T14:31:10Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1608462026-05-11T12:00:57Zcom_10366_130154com_10366_4576com_10366_3823col_10366_130155
Gestión del Repositorio Documental de la Universidad de Salamanca
author
Almendra Martín, Laura
author
Martínez Fernández, José
author
Piles, María
author
González Zamora, Ángel
author
Benito-Verdugo, Pilar
author
Gaona, Jaime
2024-11-29T12:54:19Z
2024-11-29T12:54:19Z
2022
Almendra-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.
0048-9697
http://hdl.handle.net/10366/160846
10.1016/j.scitotenv.2022.157537
[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 processes
eng
Atribución 4.0 Internacional
Humedad
Clima
Cambios
Influence of atmospheric patterns on soil moisture dynamics in Europe
info:eu-repo/semantics/article
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