92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Thursday, 26 January 2012: 12:00 AM
Impacts of the Ocean Surface Processes in the Variability of the Large-Scale Flow
Room 354 (New Orleans Convention Center )
In-Sun Song, Next Generation Model Development Center, Seoul, South Korea; and J. Hong, S. Y. Kim, D. Joo, J. Kim, E. K. Jin, and H. S. Lee

Turbulent exchange between the ocean surface and the lowest part of the atmosphere is crucial in understanding the variability as well as the climatology of the large-scale flow. In fact, it has often been revealed during the development of global models that increase in momentum, heat, and moisture transport from the ocean surface can change the strength of frontal systems in the mid-to high-latitude regions. Change in the frontal systems in turn can modify resolved wave activities above the frontal systems and wave-mean flow interaction in the upper troposphere and stratosphere. In short, the ocean surface process is important in simulating reasonably the large-scale flow variability in mid-to high-latitude regions, especially in the Southern Hemisphere of which the most areas are covered with the ocean. Yet the turbulent exchange near the ocean surface is essentially the subgrid-scale process in global circulation models (GCMs) and therefore must be parameterized. However, flux observations over the ocean are still insufficient, and the lack of observations limits the further improvement of the parameterization of which the theory depends significantly on observations. Hence, the ocean surface layer processes in GCMs involve parameters that are loosely constrained by observations. This study attempts to modify parameters related to roughness and Monin-Obukhov similarity theory in the ocean surface layer parameterization of the NCAR CAM5 GCM based on the latest observations. Through the modification, we examine the impacts of the ocean surface processes on the variability of the large-scale flow and resolved-scale waves in the CAM5. Detailed results for seasonal and multi-year simulations will be presented at conference.

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