Evidence map›Paper›PMID 39141652›Full record

ArticlePloS one2024

Spatial-temporal assessment of future population exposure to compound extreme precipitation-high temperature events across China.

Ke Jin, Yanjuan Wu, Xiaolin Sun, Yanwei Sun, Chao Gao

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ke JinDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.
Yanjuan WuDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.
Xiaolin SunDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.
Yanwei SunDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.
Chao GaoDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.ORCID 0000-0001-5406-9730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global warming has increased the probability of extreme climate events, with compound extreme events having more severe impacts on socioeconomics and the environment than individual extremes. Utilizing the Coupled Model Intercomparison Project Phase 6 (CMIP6), we predicted the spatiotemporal variations of compound extreme precipitation-high temperature events in China under three Shared Socioeconomic Pathways (SSPs) across two future periods, and analyzed the changes in exposed populations and identified influencing factors. From the result, we can see that, the CMIP6 effectively reproduces precipitation patterns but exhibits biases. The frequency of compound event rises across SSPs, especially under high radiative forcing, with a stronger long-term upward trend. Furthermore, the economically developed areas, notably China's southeastern coast and North China Plain, will be hotspots for frequent and intense compound extreme events, while other regions will see reduced exposure. Finally, in the long-term future (2070-2100), there is a noteworthy shift in population exposure to compound events, emphasizing the increasing influence of population factors over climate factors. This highlights the growing importance of interactions between population and climate in shaping exposure patterns.

Indexed as

RainSpatio-Temporal AnalysisChinaClimate ChangeGlobal WarmingHot TemperatureHumans

Identifiers

PMID39141652
PMCPMC11324101

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.