High temporal variability not trend dominates Mediterranean precipitation
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Autor(es)Sergio M. Vicente-Serrano, Yves Tramblay, Fergus Reig, José C. González-Hidalgo, Santiago Beguería, Michele Brunetti, et al.
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Instituição do Autor correspondenteInstituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Zaragoza, Spain
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Revista e nºNature | Vol 639 |
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Ano2025
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DOIhttps://doi.org/10.1038/s41586-024-08576-6
State-of-the-art climate models project a substantial decline in precipitation for the Mediterranean region in the futureState-of-the-art climate models project a substantial decline in precipitation for the Mediterranean region in the future. Supporting this notion, several studies based on observed precipitation data spanning recent decades have suggested a decrease in Mediterranean precipitation, with some attributing a large fraction of this change to anthropogenic infuences. Conversely, certain researchers have underlined that Mediterranean precipitation exhibits considerable spatiotemporal variability driven by atmospheric circulation patterns maintaining stationarity over the long term. These conficting perspectives underscore the need for a comprehensive assessment
of precipitation changes in this region, given the profound social, economic and environmental implications. Here we show that Mediterranean precipitation has largely remained stationary from 1871 to 2020, albeit with signifcant multi-decadal and interannual variability. This conclusion is based on the most comprehensive dataset available for the region, encompassing over 23,000 stations across 27 countries.
While trends can be identifed for some periods and subregions, our fndings atribute these trends primarily to atmospheric dynamics, which would be mostly linked to internal variability. Furthermore, our assessment reconciles the observed precipitation trends with Coupled Model Intercomparison Project Phase 6 model simulations, neither of which indicate a prevailing past precipitation trend in the region. The implications of our results extend to environmental, agricultural and water resources planning in one of the world’s prominent climate change hotspots.