Evidence map›Paper›PMID 38561343›Full record

ArticleNature communications2024

Decreased Indian Ocean Dipole variability under prolonged greenhouse warming.

Soong-Ki Kim, Hyo-Jin Park, Soon-Il An, Chao Liu, Wenju Cai, Agus Santoso, Jong-Seong Kug

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Soong-Ki KimIrreversible Climate Change Research Center, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6586-780X
Hyo-Jin ParkIrreversible Climate Change Research Center, Yonsei University, Seoul, Republic of Korea.
Soon-Il AnIrreversible Climate Change Research Center, Yonsei University, Seoul, Republic of Korea. sian@yonsei.ac.kr.ORCID http://orcid.org/0000-0002-0003-429X
Chao LiuIrreversible Climate Change Research Center, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3509-5690
Wenju CaiFrontiers Science Center for Deep Ocean Multispheres and Earth System/Physical Oceanography Laboratory/Sanya Oceanographic Institution, Ocean University of China, Qingdao, China.ORCID http://orcid.org/0000-0001-6520-0829
Agus SantosoCentre for Southern Hemisphere Oceans Research (CSHOR), CSIRO, Hobart, Australia.
Jong-Seong KugSchool of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-2251-2579

Funding

National Research Foundation of Korea (NRF) NRF-2018R1A5A1024958
6 · The paper itself

Abstract

The Indian Ocean Dipole (IOD) is a major climate variability mode that substantially influences weather extremes and climate patterns worldwide. However, the response of IOD variability to anthropogenic global warming remains highly uncertain. The latest IPCC Sixth Assessment Report concluded that human influences on IOD variability are not robustly detected in observations and twenty-first century climate-model projections. Here, using millennial-length climate simulations, we disentangle forced response and internal variability in IOD change and show that greenhouse warming robustly suppresses IOD variability. On a century time scale, internal variability overwhelms the forced change in IOD, leading to a widespread response in IOD variability. This masking effect is mainly caused by a remote influence of the El Niño-Southern Oscillation. However, on a millennial time scale, nearly all climate models show a long-term weakening trend in IOD variability by greenhouse warming. Our results provide compelling evidence for a human influence on the IOD.

Identifiers

PMID38561343
PMCPMC10985080

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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.