Abstract. Using the Arctic regional climate system model (ARCSYM), we investigate the spring seasonal transition and mechanisms controlling snowmelt over a domain covering the northern half of Alaska. Annual simulations for 1992 comparing the BiosphereAtmosphere Transfer Scheme (BATS) and the land surface model scheme (LSM) show that the BATS experiment enters the spring transition with respect to the large-scale atmospheric regime approximately one month earlier than observed climate and the LSM experiment transitions a month later than observed, even though the air temperature in the LSM experiment is generally warmer than in the BATS experiment. A more detailed examination reveals that each simulation commences and completes the snowmelt period at about the same time but that the LSM snowmelt is more rapid than in the BATS experiment. Controlling the snowmelt is the initial snowpack depth and the surface energy budget, both of which involve a complex series of feedbacks between shortwave and longwave radiation, cloud, surface turbulent fluxes, and vegetation. The snowmelt over tundra regions dominates the more rapid snowmelt seen in the LSM simulation. It is determined that the most crucial differences between the BATS and the LSM schemes are the partitioning of net ground heat flux between patches of snow and bare ground and the formulation of snow albedo.
IntroductionThe complex heterogeneity of the high-latitude land surface, with its associated ecosystems and its interactions with atmospheric processes, is an important factor in determining the role and significance of land surface exchange processes in global climate. The role of these systems is particularly important in the context of climate change, for several reasons. First, the Arctic Ocean's freshwater budget has a strong influence on the convective regime of the North Atlantic, implicated in the stability of the climate regime [Delworth et al., 1993]; the freshwater budget is dependent to a relatively high degree on land surface runoff, and hence the balance of precipitation and evaporation over the high-latitude land areas [Walsh et al., 1994]. Second, land surface exchange processes concern not only exchanges of energy and moisture but also exchanges of greenhouse gases such as carbon dioxide and methane. Per- In this paper we focus on the simulation of the seasonal cycle of the lower troposphere and, in particular, the snow cover during the spring transition. As elaborated above, an accurate and physically based representation of land surface exchanges, precipitation, clouds, and radiative transfer is required to simulate snow cover properly. In addition, these processes are highly dependent on scale, because of the variability of topography and heterogeneity of vegetation over areas much smaller than a general circulation model ( The sea ice concentration is specified using observations derived from special sensor microwave imager (SSM/I) data. The sea ice thickness and surface fluxes are calculated using the sea ice thermodynamics component...