Evidence map›Paper›PMID 35840591›Full record

ArticleNature communications2022

Constrained CMIP6 projections indicate less warming and a slower increase in water availability across Asia.

Yuanfang Chai, Yao Yue, Louise J Slater, Jiabo Yin, Alistair G L Borthwick, Tiexi Chen, Guojie Wang

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Yuanfang ChaiState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China.ORCID 0000-0003-4781-0812
Yao YueState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China. yueyao@whu.edu.cn.ORCID 0000-0002-9389-0668
Louise J SlaterSchool of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, United Kingdom.ORCID 0000-0001-9416-488X
Jiabo YinState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China.
Alistair G L BorthwickInstitute for Infrastructure and Environment, School of Engineering, The University of Edinburgh, The King's Buildings, Edinburgh, EH9 3JL, UK.ORCID 0000-0001-6053-7764
Tiexi ChenSchool of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Guojie WangSchool of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China.ORCID 0000-0002-8613-0003

Funding

Medical Research Council MR/V022008/1
6 · The paper itself

Abstract

Climate projections are essential for decision-making but contain non-negligible uncertainty. To reduce projection uncertainty over Asia, where half the world's population resides, we develop emergent constraint relationships between simulated temperature (1970-2014) and precipitation (2015-2100) growth rates using 27 CMIP6 models under four Shared Socioeconomic Pathways. Here we show that, with uncertainty successfully narrowed by 12.1-31.0%, constrained future precipitation growth rates are 0.39 ± 0.18 mm year

Indexed as

Climate ChangeWaterAsiaClimateModels, TheoreticalWater

Identifiers

PMID35840591
PMCPMC9287300

What OpenQuestion holds

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LicenceCC BY
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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.