Evidence map›Paper›PMID 41872390›Full record

ArticleScientific reports2026

Emergence time of CO

Médéric St-Pierre, Joakim Kjellsson, Wonsun Park, Leonard F Borchert, Mojib Latif

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

5 authors.

Médéric St-PierreGEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany. mstpierre@geomar.de.ORCID http://orcid.org/0009-0006-6041-7205
Joakim KjellssonGEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0002-6405-5276
Wonsun ParkCenter for Climate Physics, Institute for Basic Science, Busan, South Korea.ORCID http://orcid.org/0000-0002-6345-8428
Leonard F BorchertResearch Unit Sustainability and Climate Risk, Universität Hamburg, Hamburg, Germany.ORCID http://orcid.org/0000-0002-3232-7409
Mojib LatifGEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0003-1079-5604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the time of emergence (ToE) of European summer climate trends in a warming world. We use a large ensemble of simulations performed with the Kiel Climate Model, in which atmospheric CO2 levels increase by 1% per year starting from pre-industrial concentration. The ToE for near-surface temperature, soil moisture, and the hydrological cycle highlights a relatively fast (20–40 years) emergence of near-surface temperature trends, while precipitation trends remain within the range of natural variability until the end of the 140-year-long simulation when CO2 levels quadruple. Soil moisture trends emerge after approximately 30 years in parts of the Mediterranean region, whereas in Western and Central Europe, they only emerge in the west after about 70 years when CO2 concentrations have doubled. Although many CO2-forced climate trends are not emerging over Europe, a comparison of 5,000 pre-industrial and 3,000 4xCO2 summers reveals statistically significant differences in the distribution of these summer variables: we find that the 1% driest summers are projected to be more extreme in a warmer 4xCO2 climate compared to the pre-industrial climate. This can have major implications for agriculture, as water shortages may become more severe during these extreme summers.

Indexed as

Extreme summerHydrological cycleNear-surface temperatureSoil moistureTime of emergence

Identifiers

PMID41872390
PMCPMC13013919

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.