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Using ARM observations to identify deficiencies in the NCAR Community Atmosphere Model (CAM) simulations of marine boundary

Presentation Date
Thursday, December 15, 2016 at 8:00am
Moscone South - Poster Hall



Marine boundary layer (MBL) clouds remain the largest source of uncertainty in the cloud-climate feedback. Although studies suggest that the climatological properties of MBL clouds in climate models have been improved, shorter time scale processes such as the cloud –precipitation-turbulence interactions, and their relationships with cloud radiative properties still need to be evaluated with observations to reduce MBL cloud biases. This study will use continuous ARM observations from the Azores to assess simulations of MBL clouds with the NCAR Community Atmosphere Model (CAM) in terms of cloud, precipitation and turbulence mixing status. Our study will show a spurious cloud/boundary layer oscillation that was identified based on ARM cloud observations as an example of the model’s deficiencies in representing drizzle-cloud-turbulence interactions.

Funding Program Area(s)