The data analysis and the knowledge of climate and water resources in South Dakota

The general principles in climate research and relations of deployed models and obtained knowledge for territory like state or river basin presented on the base of results of data analysis of air temperature (Shmagin and Todey, 2008), precipitation (Shmagin, 2010), and stream flow (Chen and Shmagin 2006). The term of data analysis means sequence of activities and procedures to deal with empirical data: composition the observations as initial matrixes (1), primary analysis with simple statistical characteristics and visualization of data with simple graphs to determine general variability and presents of errors (2), and then analysis of time spatial data variability and interconnections in the matrix (3). The cyber model of landscape (Shmagin, 1997) allows formulate the research tacks for the data analysis, present results as quantities models and fuzzy maps and interpret obtained result in specific field of natural sciences (hydrology, climatology, ecology and others). Data analysis on the base of cyber model provides description of time spatial variability of climate characteristics and water cycle for diversity of regional landscapes as multidimensional structure. Multidimensional structure of regional landscape diversity create the best possible base for longtime forecast (seasonal and interannual) of climate characteristics and development of professional applications to deal with natural variability. The uncertainties of models used for forecast placed in contest of education of art and science.