The GEOS/ECCO C1440-LLC2160 Coupled Atmosphere-Ocean Simulation Dataset
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.
Authors
- Young‐Kwon Lim (ORCID: https://orcid.org/0000-0001-6735-5461)
- David Ellsworth (ORCID: https://orcid.org/0009-0000-0428-8302)
- A. Trayanov
- Christopher E. Henze
- Jean‐Michel Campin (ORCID: https://orcid.org/0000-0003-2989-8195)
- Sina Khani (ORCID: https://orcid.org/0000-0002-8319-4263)
- Christopher Hill
- Nina McCurdy
- Ehud Strobach
- Abdullah A. Fahad
- Andrea Molod
- Patrick Heimbach
- Hong Zhang
- Dimitris Menemenlis (ORCID: https://orcid.org/0000-0001-9940-8409)
Institutions
- University of Maryland, Baltimore (US)
- Ames Research Center (US)
- Goddard Space Flight Center (US)
- Jet Propulsion Laboratory (US)
- Agricultural Research Organization (IL)
- Earth System Science Interdisciplinary Center (US)
- Science Systems and Applications (United States) (US)
- University of Baltimore (US)
- Massachusetts Institute of Technology (US)
- University of Maryland, College Park (US)
- The University of Texas at Austin (US)
- Moss Landing Marine Laboratories (US)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-05-12
- DOI
- https://doi.org/10.1038/s41597-026-07349-2
- Primary Topic
- Meteorological Phenomena and Simulations
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Aeronautics and Space Administration