Climate Data Analysis on IGIS

The paper deals with a system of algorithms used in the intelligent GIS for solving problem of environment monitoring based on integrated data from various data sources, statistical and operative data on meteorology and oceanography in the first place. The described set of algorithms is developed for solving tasks that arise at three main stages of data analyses: data verification, regularization and recognition. Derivative parameters calculation algorithms that allow to compute relevant parameters of the environment in case of limited computational power without computationally complex models solving recognition and forecasting problems play discrete role. Example of the software implementation of the system is considered for the problems of climate monitoring in the Arctic.