Snow Cover: Characteristics of Local Distribution in Forests as Possible Source of Satellite Data Errors
https://doi.org/10.31857/S2587556620060072
Abstract
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.
Keywords
snow reserves,
surface air temperature,
precipitation,
factual and restored data,
spatial and longterm variability,
anomalies,
regression dependencies
Supporting agencies: The work was financially supported by the Russian Foundation for Basic Research, projects no. 18-05-00440 and no. 20-55-00007 (collection and processing of initial information), and within the framework of the state-ordered research theme of the Institute of Geography RAS, no. 0148-2019-0009 (“Climate Change and Consequences for the Environment and Population Life and Activities on the Territory of Russia”).
About the Authors
L. M. Kitaev
Institute of Geography, Russian Academy of Sciences
Russian Federation
Moscow
Russian Federation
Moscow
A. S. Zheltukhin
Central Forest State Nature Biosphere Reserve
Russian Federation
Tver oblast, Zapovedny
Russian Federation
Tver oblast, Zapovedny
E. D. Korobov
Central Forest State Nature Biosphere Reserve
Russian Federation
Tver oblast, Zapovedny
Russian Federation
Tver oblast, Zapovedny
V. A. Ableeva
Prioksko-Terrasny State Nature Biosphere Reserve
Russian Federation
Moscow oblast, Dunki
Russian Federation
Moscow oblast, Dunki
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For citations:
Kitaev L.M., Zheltukhin A.S., Korobov E.D., Ableeva V.A. Snow Cover: Characteristics of Local Distribution in Forests as Possible Source of Satellite Data Errors. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya. 2020;84(6):855-863. (In Russ.) https://doi.org/10.31857/S2587556620060072
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