Evidence map›Paper›PMID 36215472›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Spatial patterns of climate change across the Paleocene-Eocene Thermal Maximum.

Jessica E Tierney, Jiang Zhu, Mingsong Li, Andy Ridgwell, Gregory J Hakim, Christopher J Poulsen, Ross D M Whiteford, James W B Rae, Lee R Kump

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  8. Millennial-timescale thermogenic CONature communications · 2025
    Article
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  13. Long- and short-term coupling of sea surface temperature and atmospheric COProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Lithium isotopic evidence for enhanced reverse weathering during the Early Triassic warm period.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. 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

9 authors.

Jessica E TierneyDepartment of Geosciences, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-9080-9289
Jiang ZhuClimate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305.
Mingsong LiKey Laboratory of Orogenic Belts and Crustal Evolution, Ministry of Education, School of Earth and Space Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-5542-8106
Andy RidgwellDepartment of Earth and Planetary Sciences, University of California, Riverside, CA 92521.ORCID 0000-0003-2333-0128
Gregory J HakimDepartment of Atmospheric Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0001-8486-9739
Christopher J PoulsenDepartment of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0001-5104-4271
Ross D M WhitefordSchool of Earth and Environmental Sciences, University of St. Andrews, St. Andrews KY16 9AL, United Kingdom.ORCID 0000-0002-2178-3476
James W B RaeSchool of Earth and Environmental Sciences, University of St. Andrews, St. Andrews KY16 9AL, United Kingdom.ORCID 0000-0003-3904-2526
Lee R KumpDepartment of Geosciences, Pennsylvania State University, University Park, PA 16802.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Paleocene-Eocene Thermal Maximum (PETM; 56 Ma) is one of our best geological analogs for understanding climate dynamics in a "greenhouse" world. However, proxy data representing the event are only available from select marine and terrestrial sedimentary sequences that are unevenly distributed across Earth's surface, limiting our view of the spatial patterns of climate change. Here, we use paleoclimate data assimilation (DA) to combine climate model and proxy information and create a spatially complete reconstruction of the PETM and the climate state that precedes it ("PETM-DA"). Our data-constrained results support strong polar amplification, which in the absence of an extensive cryosphere, is related to temperature feedbacks and loss of seasonal snow on land. The response of the hydrological cycle to PETM warming consists of a narrowing of the Intertropical Convergence Zone, off-equatorial drying, and an intensification of seasonal monsoons and winter storm tracks. Many of these features are also seen in simulations of future climate change under increasing anthropogenic emissions. Since the PETM-DA yields a spatially complete estimate of surface air temperature, it yields a rigorous estimate of global mean temperature change (5.6

Indexed as

Climate ChangeGreenhouse GasesTemperatureGreenhouse Gasesclimate sensitivitydata assimilationgreenhouse climateshydrological cyclePaleocene–Eocene Thermal Maximum

Identifiers

PMID36215472
PMCPMC9586325

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.