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Sea ice cover in the Arctic Ocean is a continued focus of attention. Thisstudy investigates the impact of the snow overlying the sea ice in theArctic Ocean. The impact of snow depth biases in the Community ClimateSystem Model (CCSM) is shown to impact not only the sea ice, but also theoverall Arctic climate. Following the identification of seasonal biasesproduced in CCSM simulations, the thermodynamic transfer through the snow–ice columnis perturbed to determine model sensitivity to these biases. Thisstudy concludes that perturbations on the order of the observed biasesresult in modification of the annual mean conductive flux through the snow–icecolumn of 0.5 W m<sup>2</sup> relative to an unmodified simulation. Theresults suggest that the ice has a complex response to snow characteristics,with ice of different thicknesses producing distinct reactions. Our resultsindicate the importance of an accurate simulation of snow on the Arctic seaice. Consequently, future work investigating the impact of currentprecipitation biases and missing snow processes, such as blowing snow,densification, and seasonal changes, is warranted

Arctic Ocean sea ice snow depth evaluation and bias sensitivity in CCSM