Evidence map›Paper›PMID 38760333›Full record

ArticleNature communications2024

Wide range of possible trajectories of North Atlantic climate in a warming world.

Qinxue Gu, Melissa Gervais, Gokhan Danabasoglu, Who M Kim, Frederic Castruccio, Elizabeth Maroon, Shang-Ping Xie

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Qinxue GuDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, USA. qzg18@psu.edu.ORCID http://orcid.org/0000-0002-8057-3268
Melissa GervaisDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, USA.ORCID http://orcid.org/0000-0001-8400-8584
Gokhan DanabasogluNational Science Foundation National Center for Atmospheric Research, Boulder, CO, USA.ORCID http://orcid.org/0000-0003-4676-2732
Who M KimNational Science Foundation National Center for Atmospheric Research, Boulder, CO, USA.ORCID http://orcid.org/0000-0001-5754-9852
Frederic CastruccioNational Science Foundation National Center for Atmospheric Research, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-8397-7452
Elizabeth MaroonDepartment of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-1660-7822
Shang-Ping XieScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-3676-1325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decadal variability in the North Atlantic Ocean impacts regional and global climate, yet changes in internal decadal variability under anthropogenic radiative forcing remain largely unexplored. Here we use the Community Earth System Model 2 Large Ensemble under historical and the Shared Socioeconomic Pathway 3-7.0 future radiative forcing scenarios and show that the ensemble spread in northern North Atlantic sea surface temperature (SST) more than doubles during the mid-twenty-first century, highlighting an exceptionally wide range of possible climate states. Furthermore, there are strikingly distinct trajectories in these SSTs, arising from differences in the North Atlantic deep convection among ensemble members starting by 2030. We propose that these are stochastically triggered and subsequently amplified by positive feedbacks involving coupled ocean-atmosphere-sea ice interactions. Freshwater forcing associated with global warming seems necessary for activating these feedbacks, accentuating the impact of external forcing on internal variability. Further investigation on seven additional large ensembles affirms the robustness of our findings. By monitoring these mechanisms in real time and extending dynamical model predictions after positive feedbacks activate, we may achieve skillful long-lead North Atlantic decadal predictions that are effective for multiple decades.

Identifiers

PMID38760333
PMCPMC11101628

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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.