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The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project: A ReviewThe Southern Ocean serves as the primary gateway through which the intermediate, deep, and bottom waters of the ocean interact with the surface ocean (and thus the atmosphere), and it has a profound influence on the oceanic uptake of anthropogenic carbon and heat as well as nutrient resupply from the abyss to the surface. Yet it has been the least observed and understood region of the world ocean. The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project was implemented in 2014 with a goal to help remedy this deficit in observations and understanding. The SOCCOM project is based on two major advances that have the potential to transform understanding of the Southern Ocean. The first is the development of new biogeochemical sensors mounted on autonomous profiling floats that allow sampling of ocean biogeochemistry in 3-dimensional space. Floats may detect processes with a temporal resolution that ranges from hours to years. The second is that the climate modeling community finally has the computational resources and physical understanding to develop fully coupled climate models that can represent crucial, mesoscale processes in the Southern Ocean, as well as corresponding models that assimilate observations to produce a state estimate. The observational component, based on deployment of profiling floats with oxygen, nitrate, pH and bio-optical sensors, is generating vast amounts of new biogeochemical data that provide a year-round view of the Southern Ocean from the surface to 2000 m. The modeling effort is applying these observations and enhancing our understanding of the current ocean, and reducing uncertainty in projections of future carbon and nutrient cycles and climate. After nine years of operation, including a project renewal in the sixth year, the SOCCOM project has deployed more than 260 profiling floats. These floats have collected over 27,000 vertical profiles throughout the Southern Ocean. A data-assimilating biogeochemical state estimate model has been implemented. Here, the design of the SOCCOM project is reviewed and the scientific results that have been obtained are described. The project’s capability to help meet the observing system priorities outlined for a notional UN Decade for Ocean Sciences Southern Ocean observing system is assessed.
Document ID
20230014402
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Jorge L. Sarmiento
(Princeton University Princeton, New Jersey, United States)
Kenneth S. Johnson ORCID
(Monterey Bay Aquarium Research Institute Castroville, California, United States)
Lionel A. Arteaga
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Seth M. Bushinsky
(University of Hawaii at Manoa Honolulu, Hawaii, United States)
Heidi M. Cullen
(Monterey Bay Aquarium Research Institute Castroville, California, United States)
Alison R. Gray
(University of Washington Seattle, Washington, United States)
Roberta M. Hotinski
(Princeton University Princeton, New Jersey, United States)
Tanya L. Maurer
(Monterey Bay Aquarium Research Institute Castroville, California, United States)
Matthew R. Mazloff
(University of California, San Diego San Diego, California, United States)
Stephen C. Riser
(University of Washington Seattle, Washington, United States)
Joellen L. Russell
(University of Arizona Tucson, Arizona, United States)
Oscar M. Schofield
(Rutgers, The State University of New Jersey New Brunswick, New Jersey, United States)
Lynne D. Talley
(University of California, San Diego San Diego, California, United States)
Date Acquired
October 3, 2023
Publication Date
October 1, 2023
Publication Information
Publication: Progress in Oceanography
Publisher: Elsevier
Volume: 219
Issue Publication Date: December 1, 2023
ISSN: 0079-6611
e-ISSN: 1873-4472
URL: https://www.sciencedirect.com/science/article/pii/S0079661123001738?via%3Dihub
Subject Category
Oceanography
Funding Number(s)
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: NSF PLR-1425989
CONTRACT_GRANT: OPP-1936222
CONTRACT_GRANT: NA20OAR4320271
CONTRACT_GRANT: NNX14AP49G
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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External Peer Committee
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