Evidence map›Paper›PMID 41455773›Full record

ArticleNature communications2025

Increased interannual variability of Sahel rainfall under greenhouse warming.

Kai Yang, Guojian Wang, Wenju Cai, Elsa Mohino, Belen Rodriguez-Fonseca, Benjamin Ng, Sang-Wook Yeh

Abstract read
In one paragraph

Article in Nature communications, 2025. 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.

Kai YangCSIRO Environment, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0003-0140-3111
Guojian WangCSIRO Environment, Hobart, TAS, Australia. guojian.wang@csiro.au.ORCID http://orcid.org/0000-0002-8881-7394
Wenju CaiFrontiers Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, China. cwjresearch@gmail.com.ORCID http://orcid.org/0000-0001-6520-0829
Elsa MohinoDepartamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-4342-6349
Belen Rodriguez-FonsecaDepartamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, Madrid, Spain.
Benjamin NgCSIRO Environment, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0002-4458-4592
Sang-Wook YehDepartment of Marine Science and Convergent Technology, Hanyang University, Ansan, South Korea.ORCID http://orcid.org/0000-0003-4549-1686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Sahel is home to tens of millions of people in developing regions and is frequently influenced by extreme events such as drought and floods. Multi-model mean projections indicate an increase in Sahel mean rainfall under greenhouse warming, but how Sahel rainfall interannual variability and extreme seasons might change is unclear. Using the latest generation of climate models, here we find that under a high emission scenario, Sahel rainfall variability increases, featuring a higher frequency of both extreme wet and dry seasons. The increase of rainfall interannual variability is stronger in the central-eastern Sahel than in the western Sahel. The increase in variability is due to several factors, including a projected increase in El Niño-Southern Oscillation variability, which leads to a stronger impact on low-level wind and moisture flux over the Sahel resulting in more extreme seasons, and a higher mean rainfall over the Sahel favoring large anomalies. Thus, the Sahel is likely to experience more extreme wet and dry seasons relative to its warmer and wetter mean climate.

Identifiers

PMID41455773
PMCPMC12855173

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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.