Methods of sensitivity theory and orthogonal decomposition for studying climate dynamics and pollution

摘要

Development of the methodology of forward and inverse modeling for climatic and environmental protection studies is presented. The focus is on the methods of orthogonal decomposition of fields. The application is made to construction of deterministic-stochastic scenarios for ecological studies and forecasts on the base of joint use of models and climatic data. The main algorithms are shortly described. Reanalysis data base is used for estimations of seasonal variation of informativeness of the leading subspace.