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Storyline attribution of human influence on a record-breaking spatially compounding flood-heat event.


ABSTRACT: Attribution of compound events informs preparedness for emerging hazards with disproportionate impacts. However, the task remains challenging because space-time interactions among extremes and uncertain dynamic changes are not satisfactorily addressed in the well-established attribution framework. For attributing the 2020 record-breaking spatially compounding flood-heat event in China, we conduct a storyline attribution analysis by designing simulation experiments via a weather forecast model, quantifying component-based attributable changes, and comparing with historical flow analogs. We quantify that given the large-scale circulation, anthropogenic influence to date has exacerbated the extreme Mei-yu rainfall in the mid-lower reaches of the Yangtze River during June-July 2020 by ~6.5% and warmed the co-occurring seasonal extreme heat in South China by ~1°C. Our projections show a further intensification of the compound event by the end of this century, with moderate emissions making the rainfall totals ~14% larger and the season ~2.1°C warmer in South China than the 2020 status.

SUBMITTER: Wang J 

PROVIDER: S-EPMC10686554 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Storyline attribution of human influence on a record-breaking spatially compounding flood-heat event.

Wang Jun J   Chen Yang Y   Tett Simon F B SFB   Stone Dáithí D   Nie Ji J   Feng Jinming J   Yan Zhongwei Z   Zhai Panmao P   Ge Quansheng Q  

Science advances 20231129 48


Attribution of compound events informs preparedness for emerging hazards with disproportionate impacts. However, the task remains challenging because space-time interactions among extremes and uncertain dynamic changes are not satisfactorily addressed in the well-established attribution framework. For attributing the 2020 record-breaking spatially compounding flood-heat event in China, we conduct a storyline attribution analysis by designing simulation experiments via a weather forecast model, q  ...[more]

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