the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article: The growth in compound weather and climate event research in the decade since SREX
Christopher J. White
Daniela I. V. Domeisen
Bart van den Hurk
Philip Ward
Jakob Zscheischler
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Climate extremes threaten society and ecosystems, making impact understanding critical. Wikimpacts 1.0 provides an automated pipeline processing Wikipedia texts with underexploited information on climate impacts, yielding comprehensive socio-economic impact data for 2726 climate events from 1034–2024. It offers broader storm-related impacts and finer spatial resolution than established databases, showcasing natural language processing's potential to advance climate impact data.
This study highlights the need to disentangle climate change effects on flood drivers using storyline attribution. Whether information is presented as change in one or multiple drivers, or as change in hazard or impact, determines the attribution statement. For compound flooding from tropical cyclone Idai, that hit Mozambique in 2019, we attribute 1–19 % of the flood hazard and 8–35 % of the damage to climate change. The attribution framework can be applied to other events worldwide.
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