Abstract A local to regional assessment of transported snow during snow storms or subsequent periods of strong winds is a prerequisite to reliably estimate avalanche danger. Despite the fact that it has received continuing attention for decades, the problem of quantifying snow transport persists. Systems from point measurements to full three-dimensional simulations have been tested but all have their respective weaknesses. We present a new drift index, which has been tested and operated with some success in Switzerland. The index requires input from a wind-sheltered automatic weather station and a scaled wind speed from a wind-exposed site. Using the snow cover model SNOWPACK, the meteorological data is extrapolated to the four main aspects and snow cover development is calculated for these aspects. Depending on the measured wind direction and speed, a threshold condition for snow erosion at the upwind aspect is tested: if the wind is strong enough to erode the current snow at the surface of this aspect, the snow layer is eroded, transported and deposited onto the downwind aspect. With this scheme, the virtual, “representative” snow cover on the four main aspects in the vicinity of the meteorological stations are reconstructed for the course of the winter and the mass transport rate is converted to a lee-deposition drift index. A comparison with FlowCapt, an acoustic measurement device, which measures a local mass flux, shows that the measured mass flux correlates well with the amount of lee-slope deposition predicted by the drift index. Also, drifting snow periods are well detected by both the FlowCapt sensor and the SNOWPACK drift index and correspond to drifting snow periods reported by local observers. When comparing regional patterns of strong and weak snow transport as calculated from more than 110 automatic weather stations in the Swiss Alps with corresponding reports from local observers a good correlation is found, too. As opposed to earlier versions of the index, which had been based on flat field simulations of SNOWPACK alone, the new index no longer overestimates intensity and duration of blowing snow events. It is concluded that for the purpose of avalanche warning, the FlowCapt sensor and the SNOWPACK drift index are suitable means to quantify local to regional snow transport.
[1]
Y. Durand,et al.
Two-dimensional numerical modelling of surface wind velocity and associated snowdrift effects over complex mountainous topography
,
2004,
Annals of Glaciology.
[2]
Measurements and one-dimensional model calculations of snow transport over a mountain ridge
,
2001,
Annals of Glaciology.
[3]
Michael Lehning,et al.
Equilibrium Saltation: Mass Fluxes, Aerodynamic Entrainment, and Dependence on Grain Properties
,
2002
.
[4]
R. A. Schmidt,et al.
Transport rate of drifting snow and the mean wind speed profile
,
1986
.
[5]
R. Schmidt.
Threshold Wind-Speeds and Elastic Impact in Snow Transport
,
1980,
Journal of Glaciology.
[6]
Michael Lehning,et al.
snowpack model calculations for avalanche warning based upon a new network of weather and snow stations
,
1999
.
[7]
V. Chritin,et al.
ACOUSTIC SENSOR TO MEASURE SNOWDRIFT AND WIND VELOCITY FOR AVALANCHE FORECASTING
,
1999
.
[8]
John W. Pomeroy,et al.
Saltation of snow
,
1990
.
[9]
P. Bartelt,et al.
A snowdrift index based on SNOWPACK model calculations
,
2000,
Annals of Glaciology.
[10]
Michael Lehning,et al.
Snow saltation threshold measurements in a drifting-snow wind tunnel
,
2006
.
[11]
J. Schweizer,et al.
Evaluating and improving the stability predictions of the snow cover model SNOWPACK
,
2006
.
[12]
M. Naaim,et al.
Snow drift: acoustic sensors for avalanche warning and research
,
2002
.
[13]
Direct Measurement Of Shear Stress During Snow Saltation
,
2001
.
[14]
P. Gauer.
Numerical modeling of blowing and drifting snow in Alpine terrain
,
2001,
Journal of Glaciology.
[15]
M. Sørensen.
An analytic model of wind-blown sand transport
,
1991
.