Evidence map›Paper›PMID 39737914›Full record

ArticleNature communications2024

Global mean sea level likely higher than present during the holocene.

Roger C Creel, Jacqueline Austermann, Robert E Kopp, Nicole S Khan, Torsten Albrecht, Jonathan Kingslake

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors.

Roger C CreelDepartment of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA, USA. roger.creel@whoi.edu.ORCID http://orcid.org/0000-0001-6382-6545
Jacqueline AustermannLamont-Doherty Earth Observatory, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0003-3754-5082
Robert E KoppDepartment of Earth and Planetary Sciences and Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA.ORCID http://orcid.org/0000-0003-4016-9428
Nicole S KhanDepartment of Earth Science and Swire Institute of Marine Science, University of Hong Kong, Hong Kong, Hong Kong.ORCID http://orcid.org/0000-0002-9845-1103
Torsten AlbrechtPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0001-7459-2860
Jonathan KingslakeLamont-Doherty Earth Observatory, Columbia University, New York, NY, USA.

Funding

National Science Foundation (NSF) EAR-2148265National Science Foundation (NSF) OCE-2002437
6 · The paper itself

Abstract

Global mean sea-level (GMSL) change can shed light on how the Earth system responds to warming. Glaciological evidence indicates that Earth's ice sheets retreated inland of early industrial (1850 CE) extents during the Holocene (11.7-0 ka), yet previous work suggests that Holocene GMSL never surpassed early industrial levels. We merge sea-level data with a glacial isostatic adjustment model ensemble and reconstructions of postglacial thermosteric sea-level and mountain glacier evolution to estimate Holocene GMSL and ice volume. We show it is likely (probability P = 0.75) GMSL exceeded early industrial levels after 7.5ka, reaching 0.24 m (-3.3 to 1.0 m, 90% credible interval) above present by 3.2ka; Antarctica was likely (P = 0.78) smaller than present after 7ka; GMSL rise by 2150 will very likely (P = 0.9) be the fastest in the last 5000 years; and by 2060, GMSL will as likely than not (P = 0.5) be the highest in 115,000 years.

Identifiers

PMID39737914
PMCPMC11685612

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.