{"refrec":{"BRefID":246745,"RR":"<b>Lecomte, O.; Fichefet, T.; Massonnet, F.; Vancoppenolle, M</b> (2015). Benefits from representing snow properties and related processes in coupled ocean-sea ice models. <i>Ocean Modelling 87</i>: 81-85. <a href=\"http://dx.doi.org/10.1016/j.ocemod.2014.11.005\" target=\"_blank\">dx.doi.org/10.1016/j.ocemod.2014.11.005</a>","BEntID":238445,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Ocean Modelling 87</i>: 81-85. <a href=\"https://dx.doi.org/10.1016/j.ocemod.2014.11.005\" target=\"_blank\">https://dx.doi.org/10.1016/j.ocemod.2014.11.005</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Lecomte, O.; Fichefet, T.; Massonnet, F.; Vancoppenolle, M","OrigTitleTranslFlag":0,"Authorstringtrunc":"Lecomte, O. <i>et al.</i>","Englishabstract":"Several large-scale sea ice simulations are performed over the last three decades using a coupled ocean-sea ice model under the same experimental setup but partly modifying the representation of snow physics in the model. The inter-simulation spread analysis yields that the simulated multi-year ice is sensitive to such changes while the seasonal sea ice, is rather dominantly driven by the external oceanic and atmospheric forcings. In the context of a thinning Arctic sea ice cover, those findings suggest that including snow processes in large-scale sea ice models is beneficial, if not necessary, to predict the timing of the Arctic multi-year ice disappearance, whereas the operational forecasting of first-year ice extent using fully coupled models will likely require improvement to the oceanic and atmospheric components themselves. 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