Evidence map›Paper›PMID 40009688›Full record

ArticleScience advances2025

Constraining the entire Earth system projections for more reliable climate change adaptation planning.

Chao Li, Francis W Zwiers, Xuebin Zhang, Erich M Fischer, Fujun Du, Jieyu Liu, Jianyu Wang, Yongxiao Liang, Tong Li, Lina Yuan

Abstract read
In one paragraph

Article in Science advances, 2025. 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

10 authors.

Chao LiKey Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China.ORCID 0000-0001-6863-9271
Francis W ZwiersPacific Climate Impacts Consortium, University of Victoria, Victoria, BC, Canada.ORCID 0000-0002-8375-5147
Xuebin ZhangPacific Climate Impacts Consortium, University of Victoria, Victoria, BC, Canada.ORCID 0000-0002-6551-6249
Erich M FischerInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-1931-6737
Fujun DuKey Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China.
Jieyu LiuCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, China.ORCID 0000-0002-6252-6484
Jianyu WangState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China.ORCID 0009-0003-4905-5889
Yongxiao LiangClimate Research Division, Environment and Climate Change Canada, Victoria, BC, Canada.ORCID 0000-0003-3162-1494
Tong LiPacific Climate Impacts Consortium, University of Victoria, Victoria, BC, Canada.ORCID 0000-0001-6204-1172
Lina YuanKey Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The warming climate is creating increased levels of climate risk because of changes to the hazards to which human and natural systems are exposed. Projections of how those hazards will change are affected by uncertainties in the climate sensitivity of climate models, among other factors. While the level-of-global-warming approach can circumvent model climate sensitivity uncertainties in some applications, practitioners faced with specific adaptation responsibilities often find such projections difficult to use because they generally require time-oriented information. Earth system projections following specified emissions scenarios can, however, be constrained by applying the level-of-global-warming approach to observationally constrained warming projections to yield more reliable time-oriented projections for adaption planning and implementation. This approach also allows individual groups to produce consistent and comparable assessments of multifaceted climate impacts and causal mechanisms, thereby benefiting climate assessments at national and international levels that provide the science basis for adaptation action.

Identifiers

PMID40009688
PMCPMC11864194

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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.