THE INFLUENCE OF LANDSCAPE ELEMENTS ON THE DISTRIBUTION OF SNOW COVER ACCORDING TO FIELD MEASUREMENTS AND ANALYSIS (ON THE EXAMPLE OF PERM)

Abstract

The scientific interest in snow dynamics is growing steadily, especially in relation to climate variability. The ability to monitor snow cover is being improved, which makes it possible to take into account the characteristics of snow cover from hard-to-reach places in hydrodynamic models of the atmosphere. As a result, the quality of climate and weather forecasting improves. This paper presents an analysis of field observation data in small relief forms with observation data from a stationary network of ground-based observations and ERA5-Land reanalysis. It was found that the temporal variability of the height and density of the snow cover in various elements of the landscape is successfully reproduced by reanalysis. The closest values of the characteristics of the snow cover are observed during the period of its formation. The greatest unevenness in the distribution of snow cover is distinguished by negative landforms and forest edges, which seems to be determined by snowstorm transport. The height of the snow cover in the field during route observations in the vicinity of the meteorological station and stationary observations at the meteorological station has discrepancies on average by 1-4 cm. The height of the snow cover in the gully is 10-22% higher than in the field and 10% more than in the log. It is shown that the highest snow density is observed in open areas, since in open areas, the wind seems to play an important role in compaction of the snow cover. Comparison of field observation data with reanalysis on the distribution of snow cover density shows small discrepancies: no more than 0.08 g/ cm. The maximum deviation from the actual data is observed in the first half of March.