The predicted global warming is supposed to have an enhanced effect on the
arctic regions. How this will influence the water, carbon dioxide and metha
ne balances in the European arctic tundra is the objective of the EU-funded
project "Understanding Land Surface Physical Processes in the Arctic" (LAP
P), to which where SINTEF is one of several contributors. The snow cover is
one of the limiting factors for these exchange processes and knowledge of
how it behaves and will behave under a different climate is important. Data
collected for water and energy balance studies in an area close to Ny-Angs
trom lesund at 79 degreesN at Svalbard are the basis of this study. Measure
ments during the ablation periods since 1992 show an average air temperatur
e for the periods of 2.1 degreesC, an average incoming shorwave radiation o
f 230 W/m(2) and an average measured runoff intensity of 14 mm/day with a m
aximum of 68 mm/ day. Three models of different complexity are tested in or
der to simulate the water and energy balance of a snow cover on the arctic
tundra. The three models are: a complex numerical model (CROCUS), a simple
energy balance model and a temperature index model. The simulations were ca
rried out for the melt periods in 1992 and 1996 as these two periods repres
ent very different meteorological conditions. The results of these simulati
ons exposed weaknesses in all the models. The energy balance model lacks ca
lculation of cold content in the snowpack. This influences both the outgoin
g longwave radiation and the timing of the melt. Due to the effect of compe
nsating errors in the simulations, CROCUS performed better than the simple
energy balance model but also this model has problems with the simulation o
f outgoing longwave radiation. The temperature index model does not perform
well for snowmelt studies in regions were radiation is the main driving en
ergy source for the melt.