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tration according to multiple regression analysis of field
measurements, Fig. 1. In this work it is assumed that the
velocity at the height of 10 m is representative for the ver-
tical distribution of snow. The highest snow concentra-
tion is confined to a narrow zone close to the surface and
the vertical size of computational mesh cells must there-
fore be carefully chosen in order to obtain acceptablereso-
lution of the ground drift.
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snow drift around a porous fence is performed using a
one equation turbulent energy model. Turbulent quanti-
ties are linked to mean flow equations by assuming that
the dynamic viscosity is a sum of molecular and turbu-
lent viscosities, µ=r(nT +n).
Numerical simulations of snow drift

A numerical simulation of snow drift around atypical 50%
porous snow fence is performed and the different stages
in the growth of snow drift are shown in figure 2. The
fence is similar to 2.74 m tall Wyoming fence with a bot-
tom gap at 14% except for being vertical instead of having
a slight inclination. A mean inlet wind profile typical for
flat ground conditions is given, where the velocity is 10
m/s, measured at the heightof 10 m and the surfacerough-
ness is 10 -3 m. The snow quality in this simulation is as-
sumed to be something in between snow coming from a
wind-hardenedsurface and very light dry snow, and con-
sequently the threshold friction velocity is chosen as 0.2
m/s (Male, 1980). Other constants used in the simulation
are chosen as follow: drag constant, K=25.8 kg/m3 s, ter-
minal snowfall velocity=0.4 m/s and roughnessheight for
friction velocity calculations=10 -4 m.
It is not realistic to perform numerical simulations of
snow drift with a simulation time as long as for real con-
dition. Figure 2 shows a simulation of 23 minutes snow
drift and this short simulation time is possible by using a
small freezing fraction at 0.1 for solidification. Drifting
snow is deposited in a surface mesh cellby assuming that
30% of the incoming snow flux accumulates for each time
step, which is a value based on simulation tests.
The calculated snow deposition in figure 2 is in satis-
factory agreementwith the equilibrium drift profile which
is characteristic for less than half way filled Wyoming
fences, placed on a flat ground. There is no point in going
for the identical profle when field measurements and
boundary conditions are not given. An example of snow
formation development around a similar fence is shown
in figure 3. Early stage depositions behind the fenceshows
tendencytowards formation of a cornice or an abrupt drop
off on the leeward side, whichis caused by a recirculating
zone behind the formation. The same phenomenon can
be detected on the numerical simulation in figure 2.

SUMMARY AND CONCLUDING REMARKS

A numerical method for simulation of snow drift based
on two-phase theory is proposed. Snow transport is ba-
sically considered by solving a scalar transport equa-
tion for suspension by the mean flow and the snow
phase is allowed to drift with respect to the air phase. In
the absence of rigorous theory the transport by creep
and saltation is modelled by means of experimental
knowledge. This method has been successfully em-
ployed to simulate the development of two dimensional
snow accumulations around a 50% porous fence and, as
a further development, this model will be extended to
handle three dimensional cases.
It is necessary to evaluate drift-heights or snow accu-
mulations by sharp interface techniques in order to study
how they affect the wind velocity field.
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Figure 1. Concentration of snow as a function of height above the snow

surface, for drift situations with velocities at 10, 15, and 20 m/s,

measured at a reference height of 10 m (Mellor and Fellers, 1986).

Right outlet boundary condition

Continuative outflow where all normal derivatives van-
ishes is selected as right boundary condition. Upstream
effects are minimized through evaluating normal deriva-
tives after the momentum equations, only.

Top and Bottom boundary conditions

The bottom boundary condition is defined as a rigid wall
with no-slip conditions where wall shear stress is calcu-
lated. Snow accumulation is treated as a new surface hav-
ing a zero velocity boundary condition for the flow
simulations. Topboundary is specified as a symmetry con-
dition where free-slipis considered. Possible contribution
from vertical snowfall is neglected due to the low concen-
tration compared to ground drifting snow. There are no
wind velocities normal to the bottom boundary, the snow
surface or the top boundary condition.

Turbulence modelling in snow drift

Turbulence and particle interactions can be divided into
two aspects. The first is concerning how particles are af-
fected by turbulence in the carrier fluid. The second is
how particle interaction affects the turbulence in the mix-
ture fluid. Hetsroni (1992) indicated that the presence of
particles that are small compared to the turbulent scale
was suppressing the turbulence in the mixture flow due
to additional energy dissipation. Larger particles seemed
to have an opposite effect by enhancing turbulence. The
field of turbulence modelling of two-phase, gas-particle
flows are poorly understood and this analysis is confined
to treating turbulence in the air phase and neglecting tur-
bulence effects due to particle interactions. Simulation of
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