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We measure the snow cover duration as the relative number n of days during the winter season (DJF) at which a snow cover of at least 12.5 cm snow water equivalent has been observed. We consider n a function of station height H and temperature T. The latter is determined as regional winter average over the area of the Rocky Mountains from the CRU dataset. The functional relation n(H,T) is gained through a statistical model which consists in fitting a logistic curve to the observed data. It was originally developed for Austria and recently applied to the European Alps.
Purpose of this research is to estimate the sensitivity of the snow duration to the temperature. The regional temperature is sufficiently close to what a climate model should predict for large-scale temperature development representative for the winter season of the western part of North America. The sensitivity s is defined as the partial derivative of n with respect to T for constant H. We expect small sensitivities for stations both at low levels (never snow) and at very high levels (always snow). At intermediate levels s should reach a negative extremum, referred to as s0.
We find a maximum sensitivity s0 = -(0.28±0.03) 1/K for the area of the Rocky Mountains in elevations around 2.050 m a.s.l. during winter. Since a climate shift of 1 K would be within the natural seasonal fluctuations, the sensitivity implies that a rise of the mean regional temperature of 1 K has the potential to reduce the duration of snow cover by 28%, equivalent to a reduction of 4 weeks in elevations of maximum sensitivity. Above and below about 2050 m the sensitivity is gradually getting smaller. For comparison: The Alpine sensitivity for snow heights of 10 cm is s0 = -(0.34±0.03) 1/K, located at levels around 910 m. The theory behind the statistical model suggests that our results are insensitive to possible climate mean trends; s0 depends primarily upon the natural fluctuations of regional temperature which causes short snow duration in warm winters and long duration in cold winters, in accord with general experience. The novel aspect of this study is that the sensitivity is directly proportional to the variance of these temperature fluctuations.