Articles | Volume 12, issue 8
Model evaluation paper
28 Aug 2019
Model evaluation paper |  | 28 Aug 2019

Snowfall distribution and its response to the Arctic Oscillation: an evaluation of HighResMIP models in the Arctic using CPR/CloudSat observations

Manu Anna Thomas, Abhay Devasthale, Tristan L'Ecuyer, Shiyu Wang, Torben Koenigk, and Klaus Wyser

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Cited articles

Appenzeller, C., Stocker, T. F., and Anklin, M.: North Atlantic Oscillation dynamics recorded in Greenland ice cores, Science, 282, 446–449, 1998. a
Auger, N., Potter, B. J., Smargiassi, A., Bilodeau-Bertrand, M., Paris, C., and Kosatsky, T.: Association between quantity and duration of snowfall and risk of myocardial infarction, CMAJ, 189, 235–242,, 2017. a
Bamzai, A. S.: Relationship between snow cover variability and Arctic Oscillation on a hierarchy of time scales, Int. J. Climatol., 23, 131–143, 2003. a
Barry, R. G.: The parameterization of surface albedo for sea ice and its snow cover, Progress in Physical Geography: Earth and Environment, 20, 63–79,, 1996. a
Bennartz, R., Fell, F., Pettersen, C., Shupe, M. D., and Schuettemeyer, D.: Spatial and temporal variability of snowfall over Greenland from CloudSat observations, Atmos. Chem. Phys., 19, 8101–8121,, 2019. a
Short summary
Snow cover significantly influences the surface albedo and radiation budget. Therefore, a realistic representation of snowfall in climate models is important. Here, using decade-long estimates of snowfall derived from the satellite sensor, four climate models are evaluated to assess how well they simulate snowfall in the Arctic. It is found that light and median snowfall is overestimated by the models in comparison to the satellite observations, and extreme snowfall is underestimated.