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The spatial distribution of snow water equiva- lent (SWE) is modelled as a two parameter gamma distri- bution. The parameters of the distribution are dynamical in that they are functions of the number of accumulation and melting events and the temporal correlation of accumula- tion and melting events. The estimated spatial variability is compared to snow course observations from the alpine catch- ments Norefjell and Aursunden in Southern Norway. A fixed snow course at Norefjell was measured 26 times during the snow season and showed that the spatial coefficient of varia- tion change during the snow season with a decreasing trend from the start of the accumulation period and a sharp increase in the melting period. The gamma distribution with dynami- cal parameters reproduced the observed spatial statistical fea- tures of SWE well both at Norefjell and Aursunden. Also the shape of simulated spatial distribution of SWE agreed well with the observed at Norefjell. The temporal correla- tion tends to be positive for both accumulation and melting events. However, at the start of melting, a better fit between modelled and observed spatial standard deviation of SWE is obtained by using negative correlation between SWE and melt.

Modelling the spatial variability of snow water equivalent at the catchment scale