1Center for Marine Environmental Sciences (MARUM), Universität Bremen, Bremen, Germany
2Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, Colorado, USA
3National Center for Atmospheric Research, Boulder, Colorado, USA
4Los Alamos National Laboratory, Los Alamos, New Mexico
Received: 01 Mar 2013 – Published in The Cryosphere Discuss.: 09 Apr 2013
Abstract. Sea ice cover in the Arctic Ocean is a continued focus of attention. This study investigates the impact of the snow overlying the sea ice in the Arctic Ocean. The impact of snow depth biases in the Community Climate System Model (CCSM) is shown to impact not only the sea ice, but also the overall Arctic climate. Following the identification of seasonal biases produced in CCSM simulations, the thermodynamic transfer through the snow–ice column is perturbed to determine model sensitivity to these biases. This study concludes that perturbations on the order of the observed biases result in modification of the annual mean conductive flux through the snow–ice column of 0.5 W m2 relative to an unmodified simulation. The results suggest that the ice has a complex response to snow characteristics, with ice of different thicknesses producing distinct reactions. Our results indicate the importance of an accurate simulation of snow on the Arctic sea ice. Consequently, future work investigating the impact of current precipitation biases and missing snow processes, such as blowing snow, densification, and seasonal changes, is warranted.
Revised: 21 Oct 2013 – Accepted: 26 Oct 2013 – Published: 13 Dec 2013
Blazey, B. A., Holland, M. M., and Hunke, E. C.: Arctic Ocean sea ice snow depth evaluation and bias sensitivity in CCSM, The Cryosphere, 7, 1887-1900, doi:10.5194/tc-7-1887-2013, 2013.