Evidence map›Paper›PMID 42120434›Full record

ArticleScientific data2026

The GEOS/ECCO C1440-LLC2160 Coupled Atmosphere-Ocean Simulation Dataset.

Dimitris Menemenlis, Andrea Molod, Christopher N Hill, Atanas Trayanov, Ehud Strobach, Jean-Michel Campin, Abdullah A Fahad, Patrick Heimbach, Hong Zhang, Young-Kwon Lim and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 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

14 authors.

Dimitris MenemenlisMoss Landing Marine Laboratories, San José State University, Moss Landing, CA, USA.ORCID http://orcid.org/0000-0001-9940-8409
Andrea MolodNASA, Goddard Space Flight Center, Greenbelt, MD, USA. andrea.molod@nasa.gov.
Christopher N HillMassachusetts Institute of Technology, Cambridge, MA, USA.
Atanas TrayanovNASA, Goddard Space Flight Center, Greenbelt, MD, USA.
Ehud StrobachVolcani Agricultural Research Organization, Rishon Letzion, Israel.
Jean-Michel CampinMassachusetts Institute of Technology, Cambridge, MA, USA.
Abdullah A FahadNASA, Goddard Space Flight Center, Greenbelt, MD, USA.
Patrick HeimbachJackson School of Geosciences, University of Texas at Austin, Austin, TX, USA.
Hong ZhangJet Propulsion Laboratory, CAlifornia Institute of Technology, Pasadena, CA, USA.
Young-Kwon LimUniversity of Maryland Baltimore Campus, Baltimore, MD, USA.
Sina KhaniNASA, Goddard Space Flight Center, Greenbelt, MD, USA.
Christopher E HenzeNASA Ames Research Center, Mountain View, CA, USA.
David A EllsworthNASA Ames Research Center, Mountain View, CA, USA.
Nina McCurdyNASA Ames Research Center, Mountain View, CA, USA.

Funding

National Aeronautics and Space Administration (NASA) 19-MAP19-0018
6 · The paper itself

Abstract

NASA's Goddard Earth Observing System (GEOS) infrastructure was used to couple a cloud-admitting (7-km grid, 72 levels) configuration of the GEOS atmospheric model with a mesoscale-resolving (2-4-km grid, 90 levels) Estimating the Circulation and Climate of the Ocean (ECCO) configuration of the Massachusetts Institute of Technology general circulation model (MITgcm), and to conduct a 14-month "nature" simulation initialized with January 20, 2020, 21Z conditions. The output of this simulation is contained in the dataset described here. The NASA GEOS/ECCO Coupled Nature Run includes astronomical tidal forcing in the ocean component of the simulation, an interactive aerosol component and aerosol-cloud interactions in the atmosphere, and the storage of copious amounts of model output. The inclusion of tidal forcing permits a more realistic representation of vertical mixing in the ocean and of high-frequency variability that is aliased in satellite observations. All of the above make this simulation well suited as a nature run in Observing System Simulation Experiments (OSSEs) and for the study of high frequency/wavenumber coupled processes in weather and climate.

Identifiers

PMID42120434
PMCPMC13408436

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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.