Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 5, pp. 183-191
A Remote Sensing Based Land Surface Model: development and application for assessing intra-annual variability of water and heat balances of a vast region
A.N. Gelfan
1, E.L. Muzylev
1, A.B. Uspensky
2, Z.P. Startseva
1, S.A. Uspensky
2, P.Yu. Romanov
31 Water Problem Institute of Russian Academy of Sciences, Russia, 119333, Moscow, Gubkin, 3
2 State Research Center of Space Hydrometeorology "Planeta", Russia, 123242, Moscow, B. Predtechensky, 7
3 City College of City University of New York, New York, NY, USA
A Remote Sensing Based Land Surface Model (RSBLSM) has been developed for simulating water and heat balance components of vast terrains of a regional scale and allowing the use of satellite derived data on land surface and snow cover characteristics. The model describes processes of bare soil evaporation and transpiration of vegetation, vertical water-and-heat transfer through a soil for both vegetation and cold season, as well as soil freezing and thawing, snow accumulation and melt. The model calibration and validation have been carried out against the ground-based long-term observations at the agricultural meteorological stations of the Central Black Earth zone of European Russia. Technologies of satellite data processing have been developed for assessing key-parameters and state variables for the model. Opportunities have been analysed for utilizing satellite derived estimates by the model for description of water/heat regime of a vast region accounting for spatial variability of the land-surface characteristics
Keywords: land surface model, satellite data, agricultural region, water balance
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