GC34A-02
Simulation of Arctic climate with the Regional Arctic System Model (RASM): Sensitivity to atmospheric processes

Wednesday, 16 December 2015: 16:15
3009 (Moscone West)
John J Cassano1, Alice Duvivier2, Andrew Roberts3, Mimi Hughes4, Mark W Seefeldt4, Anthony Craig5, William J Gutowski Jr6, Joseph Hamman7, Matthew Higgins8, Michael Brunke9, Brandon J Fisel6, Wieslaw Maslowski3, Bart Nijssen10, Robert Osinski11 and Xubin Zeng9, (1)Univ Colorado, Boulder, CO, United States, (2)CIRES, Boulder, CO, United States, (3)Naval Postgraduate School, Monterey, CA, United States, (4)University of Colorado at Boulder, Boulder, CO, United States, (5)Independent contractor with Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (6)Iowa State University, Ames, IA, United States, (7)Applied Physics Laboratory University of Washington, Seattle, WA, United States, (8)NCAR, Leesburg, VA, United States, (9)University of Arizona, Tucson, AZ, United States, (10)University of Washington Seattle Campus, Seattle, WA, United States, (11)The Institute of Oceanology Polish Academy of Sciences, Sopot, Poland
Abstract:
A new regional Earth system model focused on the Arctic, the Regional Arctic System Model (RASM), has recently been developed. The initial version of this model includes atmosphere (WRF), ocean (POP), sea ice (CICE), and land (VIC) component models coupled using the NCAR CESM CPL7 coupler. The model is configured to run on a large pan-Arctic domain that includes all sea ice covered waters in the Northern Hemisphere and all Arctic Ocean draining land areas.

Results from a suite of multi-decadal (1990 to 2014) simulations with RASM will be presented and will focus on the simulated climate's sensitivity to atmospheric processes and parameterizations. These simulations show that the modeled climate is sensitive to changes in the boundary layer and cumulus parameterizations used in the atmospheric component of RASM. Depending on the WRF parameterizations used the model either overestimates or underestimates cloud cover over the ocean. Underestimation of clouds over land areas is common in all versions of the model evaluated. The differences in simulated cloud impacts the surface and top of the atmosphere radiation budget, alters biases in land and ocean surface temperature, changes precipitation distribution within the domain, and leads to different sea ice states being simulated. Simulations with only the atmospheric component of RASM were also run and highlight the model response that is solely due to atmospheric processes and the model response arising from coupled processes in RASM.

<< Previous Abstract | Next Abstract >>