Assessing the Quality of Southern Ocean Circulation in CMIP5 AOGCM and Earth System Model Simulations
Affiliation
Univ Arizona, Dept GeosciIssue Date
2019-08-16Keywords
Ocean circulationClimate models
Coupled models
General circulation models
Model comparison
Model evaluation
performance
Metadata
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AMER METEOROLOGICAL SOCCitation
Beadling, R.L., J.L. Russell, R.J. Stouffer, P.J. Goodman, and M. Mazloff, 2019: Assessing the Quality of Southern Ocean Circulation in CMIP5 AOGCM and Earth System Model Simulations. J. Climate, 32, 5915–5940, https://doi.org/10.1175/JCLI-D-19-0263.1Journal
JOURNAL OF CLIMATERights
Copyright © 2019 American Meteorological Society.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The Southern Ocean (SO) is vital to Earth’s climate system due to its dominant role in exchanging carbon and heat between the ocean and atmosphere and transforming water masses. Evaluating the ability of fully coupled climate models to accurately simulate SO circulation and properties is crucial for building confidence in model projections and advancing model fidelity. By analyzing multiple biases collectively across large model ensembles, physical mechanisms governing the diverse mean-state SO circulation found across models can be identified. This analysis 1) assesses the ability of a large ensemble of models contributed to phase 5 of the Coupled Model Intercomparison Project (CMIP5) to simulate observationally based metrics associated with an accurate representation of the Antarctic Circumpolar Current (ACC), and 2) presents a framework by which the quality of the simulation can be categorized and mechanisms governing the resulting circulation can be deduced. Different combinations of biases in critical metrics including the magnitude and position of the zonally averaged westerly wind stress maximum, wind-driven surface divergence, surface buoyancy fluxes, and properties and transport of North Atlantic Deep Water entering the SO produce distinct mean-state ACC transports. Relative to CMIP3, the quality of the CMIP5 SO simulations has improved. Eight of the thirty-one models simulate an ACC within observational uncertainty (2σ) for approximately the right reasons; that is, the models achieve accuracy in the surface wind stress forcing and the representation of the difference in the meridional density across the current. Improved observations allow for a better assessment of the SO circulation and its properties.Note
6 month embargo; published online: 16 August 2019ISSN
0894-8755Version
Final published versionSponsors
U.S. EPA [FP-91780701-0]; NSF's Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project under the NSF Award [PLR-1425989]; NOAA; NASA; Thomas R. Brown foundation at the University of Arizonaae974a485f413a2113503eed53cd6c53
10.1175/jcli-d-19-0263.1