On the one hand, the avalanche risk for settlements and infrastructure decreased in the last decades due to avalanche barriers in alpine regions. On the other hand, an increase in winter tourisms, backcountry activities and off-piste skiers led to an increase in avalanche fatalities. Hence, reliable and precise avalanche warnings are necessary to reduce the amounts of avalanche accidents.So far avalanche warning services are dependent on wide-scale weather prediction models, punctual weather measurements and personal experiences to forecast avalanches. In future snow drift models can be very important for the estimation of the avalanche risk of exposed mountain sides.Besides the composition of the snow cover, the avalanche risk depends mainly on a critical snow load. The highest snow depths are generally accumulated in leeward slopes, chutes, and dingles, mainly caused by snow drift.Snow grains are eroded at wind speeds of more than 15 km/h and the snow is accumulated at leeward areas. Therefore, some mountainsides can be snow-free whereas several meters of snow can be accumulated in leeward slopes. Due to air turbulences large snow cornices can be formed on mountain crests and breaking cornices are able to trigger avalanches.The main focus of this diploma thesis lies on the validation of a snow drift model. The model runs are compared to observations at the Planneralm, Styria. The result of the snow drift model depends on various model parameters, e.g. cohesive forces between snow grains and snow density. Model parameters are analyzed within this work and their influence on the snow drift rate is presented. Further, the turbulence intensity of the wind at the test area is measured and compared with model results.