Evidence map›Paper›PMID 38019915›Full record

ArticleScience advances2023

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

Jun Wang, Yang Chen, Simon F B Tett, Dáithí Stone, Ji Nie, Jinming Feng, Zhongwei Yan, Panmao Zhai, Quansheng Ge

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jun WangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID 0009-0005-5869-832X
Yang ChenState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China.ORCID 0000-0002-1765-3783
Simon F B TettSchool of GeoSciences, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7526-560X
Dáithí StoneNational Institute of Water and Atmospheric Research, Wellington, Aotearoa, New Zealand.
Ji NieDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China.ORCID 0000-0002-9829-8604
Jinming FengKey Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-8634-950X
Zhongwei YanKey Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-0638-137X
Panmao ZhaiState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China.ORCID 0000-0002-1813-0159
Quansheng GeThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-8712-8565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID38019915
PMCPMC10686554

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.