Back to CIG Back to CSES
Back to CDG

Search

View All Publications

Go To Publication by Year:

View Publications by Topic:

Agriculture

Air Quality

Aquatic Ecosystems and Fisheries

Background Papers

Climate: Atmospheric Modeling

Climate: Coupled Atmosphere-Ocean Modeling

Climate: Diagnostics

Climate: Global Climate

Climate: Ocean Modeling

Climate: PNW Climate

Coastal Ecosystems

Coastal Environments

Data Analysis and Sharing

Fact Sheets

Forecasts and Applications

Forest Ecosystems

Human Health

Hydrology and Water Resources

Integrated Assessment

Program Documents

Science Advisory Reports

Societal Dimensions

Theses and Dissertations

View Publications by Author:

Search the Publication Abstracts:


Other CSES Links:

About CSES

CSES Personnel

Data / Links

Publications

Welcome to the publications directory for the Climate Impacts Group and the Climate Dynamics Group. Please contact the web administrator for assistance with any of these publications.


View: Abstract

Simulation of Subantartic mode and Antarctic intermediate waters in climate models

Sloyan, B.M., and I.V. Kamenkovich. (In press). Simulation of Subantartic mode and Antarctic intermediate waters in climate models. To appear in Journal of Climate.

Abstract

This study analyzes simulation of the Subantarctic Mode Water (SAMW) and Antarctic Intermediate Water (AAIW) in eight coupled climate models (GCMs) associated with the forthcoming IPCC Fourth Assessment Report. Comparison of the model derived density, temperature and salinity of these water masses with observations reveals sizeable errors in these quantities in some of the models. The net heat and mass fluxes by SAMW/AAIW from the Southern Ocean into the Atlantic, Pacific and Indian oceans for the climates of the 20th and 21st centuries are then diagnosed from these GCM simulations. The resulting values are compared between GCMs as well as with the estimates of these fluxes for the 20th century climate from an observational inverse model of the Southern Ocean. The analysis identifies a group of four models that exhibit the smallest errors in SAMW/AAIW properties and show the best agreement with the inverse model estimates of property fluxes.