Evidence map›Paper›PMID 42191675›Full record

ArticleNature communications2026

High-impact weather effects on wind and solar power systems under future climate scenarios in China.

Jingbo Sun, Yuan He, Yan Li, Yang Wang, Qingchen Chao, Deliang Chen, Xiaofan Yang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jingbo SunState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yuan HeState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-2955-1063
Yan LiState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yang WangChina Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Centre, Beijing, China. wangyang@cma.gov.cn.
Qingchen ChaoChina Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Centre, Beijing, China.
Deliang ChenDepartment of Earth System Science, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-0288-5618
Xiaofan YangState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China. xfyang@bnu.edu.cn.ORCID http://orcid.org/0000-0001-7030-7516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-impact weather events (HIWs) threaten power system reliability by inducing prolonged, concurrent deficits in wind and solar generation. Here, we present an integrated assessment of China's future renewable-dominated power system under climate change, leveraging 5-kilometer resolution spatial and hourly temporal meteorological data, spatially explicit electricity demand projections, and a climate-informed coordinated optimization of renewable generation and cross-regional transmission. Under the SSP5-8.5 scenario by 2040, we find that HIWs can trigger generation deficits persisting up to 24 days annually, reducing wind and solar output by as much as 41.2% in inland provinces and 22.7% across northern-central grids, respectively. Inner Mongolia and the Northwest China Grid emerge as key export hubs, with a combined cross-regional transmission potential of 605 gigawatts to alleviate regional imbalances. These results underscore the amplifying role of HIWs in disrupting renewable supply chains and highlight the necessity of spatially coordinated, climate-resilient infrastructure planning to secure a low-carbon energy future.

Identifiers

PMID42191675
PMCPMC13389041

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.