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Report . 2024
License: CC BY
Data sources: Datacite
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
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Heavy precipitations in October 2024 South-Eastern Spain DANA mostly strengthened by human-driven climate change

Authors: Faranda, Davide; Alvarez-Castro, M. Carmen; Ginesta, Mireia; Coppola, Erika; Pons, Flavio Maria Emanuele;

Heavy precipitations in October 2024 South-Eastern Spain DANA mostly strengthened by human-driven climate change

Abstract

Depressions similar to the October 2024 DANA that caused floods in southeastern Spain are up to 7 mm/day (an increase of up to 15%) wetter over the Mediterranean coast of Spain in the present than they would have been in the past. Additionally, conditions are up to 4°C warmer in the present compared to the past, which favors the formation of thunderstorms over the Mediterranean basin during DANA events. The October 2024 DANA was driven by very exceptional meteorological conditions. We mostly ascribe the strengthened precipitation of the October 2024 DANA to human driven climate change and natural climate variability likely played a modest role.

Keywords

Attribution, ClimaMeter

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
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