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Climate is a dynamic and extremely multifactorial phenomenon. Various climate models can be implemented to assess and forecast climate change, which incorporate various numbers of climate factors and consider these factors either as independent or as complex (through grouping more or less similar factors). In accordance to such flexibility of climate modeling, issues of models verification and model-based computations evaluation remain most important tasks. Solution for the verification and evaluation problems can be achieved, in particular, through implementation of a complex geographic information system (GIS) capable to provide accumulation and joint analysis of retrospective and real-time arrays of climate and supplementary geospatial data. Our study series is devoted to the joint analysis of the dynamics of climate and vegetation cover parameters in the Northern regions. Currently we are presenting initial model of the geospatial database, which includes ground-based meteorological observations and satellite remote sensing data and allows assessment of various climate parameters (surface air temperature and humidity trends, framing dates and duration of growing seasons, etc.).

TOWARD STRUCTURE OF GEOSPATIAL DATABASE USED FOR GIS-BASED CLIMATE CHANGE MODELING