Abstract. A comprehensive understanding of the state and dynamics of the land
cryosphere and associated sea level rise is not possible without taking into
consideration the intrinsic timescales of the continental ice sheets. At the
same time, the ice sheet mass balance is the result of seasonal variations in
the meteorological conditions. Simulations of the coupled climate–ice-sheet
system thus face the dilemma of skillfully resolving short-lived phenomena,
while also being computationally fast enough to run over tens of thousands of
years. As a possible solution, we present the BErgen Snow SImulator (BESSI), a surface energy and mass balance
model that achieves computational efficiency while simulating all surface and
internal fluxes of heat and mass explicitly, based on physical first
principles. In its current configuration it covers most land areas of the
Northern Hemisphere. Input data are daily values of surface air temperature,
total precipitation, and shortwave radiation. The model is calibrated using
present-day observations of Greenland firn temperature, cumulative Greenland
mass changes, and monthly snow extent over the entire domain. The results of
the calibrated simulations are then discussed. Finally, as a first
application of the model and to illustrate its numerical efficiency, we
present the results of a large ensemble of simulations to assess the model's
sensitivity to variations in temperature and precipitation.