Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 2, pp. 38-49
Estimation of precision of snow storage satellite data for large watersheds of European Russia
A.A. Telegina
1 , N.L. Frolova
1 , L.M. Kitaev
2 , T.B. Titkova
2 1 M.V. Lomonosov Moscow State University, Moscow, Russia
2 Institute of Geography RAS, Moscow, Russia
Precision of retrieved values of snow storage from SSM/I - DMSP datasets (Chang model) is estimated for the use in studies of water balance of large watersheds in the East European Plain. Errors of the retrieved data were estimated by comparing them with factual data of ground-based observations for seasonal and multiyear changes. Maximal errors were demonstrated for watershed of the Northern Dvina - an average of 53%, for watersheds of Oka and Don the errors were respectively 35 and 33%. In all cases, the retrieved data errors significantly exceeded 25% claimed by the authors of the model algorithm. Principal errors in seasonal and multiyear variability estimates are connected with thaws, the frequency of which increases by the spring period - the difference between the retrieved and factual daily values may reach 100% as a result of liquid water occurrence in snow and subsequent ice crust formation. Connection of the retrieved and factual snow storage data was considered for open and closed (forested) areas. In open areas the connection between the retrieved and factual data is more noticeable. Thus, the dependence of retrieved data errors both on air temperature and vegetation condition was assessed.
Keywords: recovered and factual snow storage, surface air temperature, precipitation, microwave remote sensing, river basin
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