Снежный покров: особенности локального распределения в лесных массивах как возможный источник погрешностей спутниковых данных

The errors in the snow reserves recovered from satellite data in forest territories are mainly associated with the nature of the snow thickness and the characteristics of plant communities. The main objective of our research is to assess the local variability of snow reserves in modern climatic conditions in connection with the forest taxonomic heterogeneity as a possible additional source of errors in snow reserves calculating with using satellite information. Errors of snow сover characteristics recovered from satellite data (product GlobSnow (SWE), European Space Agency) for basic points within the forest zone of the East European Plain were calculated for absolute values, indicators of interannual and long-term variability. The errors obtained are connected with the approaches considering in model algorithms the reflective ability of the snow cover in forest tracts (permeability coefficient). Using experimental observations results in the Central Forest Reserve, noticeable local differences in the actual characteristics of the snow cover in the forest territories with a predominance of coniferous or deciduous species are revealed. The obtained patterns can be used to refine regional estimates of snow reserves calculating using satellite imagery.