Improving oceanic overflow representation in climate models : the Gravity Current Entrainment Climate Process Team
Briegleb, Bruce P.
Large, William G.
Ozgokmen, Tamay M.
Chassignet, Eric P.
Gordon, Arnold L.
Price, James F.
MetadataShow full item record
Oceanic overflows are bottom-trapped density currents originating in semienclosed basins, such as the Nordic seas, or on continental shelves, such as the Antarctic shelf. Overflows are the source of most of the abyssal waters, and therefore play an important role in the large-scale ocean circulation, forming a component of the sinking branch of the thermohaline circulation. As they descend the continental slope, overflows mix vigorously with the surrounding oceanic waters, changing their density and transport significantly. These mixing processes occur on spatial scales well below the resolution of ocean climate models, with the result that deep waters and deep western boundary currents are simulated poorly. The Gravity Current Entrainment Climate Process Team was established by the U.S. Climate Variability and Prediction (CLIVAR) Program to accelerate the development and implementation of improved representations of overflows within large-scale climate models, bringing together climate model developers with those conducting observational, numerical, and laboratory process studies of overflows. Here, the organization of the Climate Process Team is described, and a few of the successes and lessons learned during this collaboration are highlighted, with some emphasis on the well-observed Mediterranean overflow. The Climate Process Team has developed several different overflow parameterizations, which are examined in a hierarchy of ocean models, from comparatively well-resolved regional models to the largest-scale global climate models.
Author Posting. © American Meteorological Society, 2009. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 90 (2009): 657-670, doi:10.1175/2008BAMS2667.1.
Showing items related by title, author, creator and subject.
Desert dust and anthropogenic aerosol interactions in the Community Climate System Model coupled-carbon-climate model Mahowald, Natalie M.; Lindsay, Keith; Rothenberg, D.; Doney, Scott C.; Moore, J. Keith; Thornton, Peter E.; Randerson, James T.; Jones, C. D. (Copernicus Publications on behalf of the European Geosciences Union, 2011-02-15)Coupled-carbon-climate simulations are an essential tool for predicting the impact of human activity onto the climate and biogeochemistry. Here we incorporate prognostic desert dust and anthropogenic aerosols into the ...
Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters Sokolov, Andrei P.; Stone, P. H.; Forest, C. E.; Prinn, Ronald G.; Sarofim, Marcus C.; Webster, M.; Paltsev, S.; Schlosser, C. Adam; Kicklighter, David W.; Dutkiewicz, Stephanie; Reilly, John M.; Wang, C.; Felzer, Benjamin S.; Melillo, Jerry M.; Jacoby, H. D. (American Meteorological Society, 2009-10-01)The Massachusetts Institute of Technology (MIT) Integrated Global System Model is used to make probabilistic projections of climate change from 1861 to 2100. Since the model’s first projections were published in 2003, ...
Effects of climate change on an emperor penguin population : analysis of coupled demographic and climate models Jenouvrier, Stephanie; Holland, Marika M.; Stroeve, Julienne; Barbraud, Christophe; Weimerskirch, Henri; Serreze, Mark; Caswell, Hal (2012-06-21)Sea ice conditions in the Antarctic affect the life cycle of the emperor penguin (Aptenodytes forsteri). We present a population projection for the emperor penguin population of Terre Adelie, Antarctica, by linking ...