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MJO as Simulated by the CSU MMF: Sensitivity to Surface Boundary Conditions

Marat Khairoutdinov Stony Brook University
David Randall Colorado State University

Category: Modeling

In the Colorado State University (CSU) multiscale-modeling framework (MMF), the conventional cloud parameterizations are replaced with a small-domain cloud-resolving model, which is often called in this context a ‘super-parameterization.’ Recently, the CSU MMF has been applied to perform a 19-year-long Atmospheric Model Intercomparison Project (AMIP)-style simulation using observed sea-surface temperatures (SSTs) and sea ice from September 1985 to September 2004. The sub seasonal variability of tropical climate associated with the Madden-Julian Oscillation (MJO) and equatorially trapped waves were particular strengths of the simulation when compared to observations. In this study, we explore sensitivity of simulated MJO to the surface boundary conditions. For example, we replace the land with the ocean but preserve the realistic (earth-like) SST pattern. In another experiment, we remove land topography. Preliminary experiments suggest that the MJO and Kelvin-wave strength can be quite sensitive to these changes.

This poster will be displayed at ARM Science Team Meeting.