ABSTRACT

In many cases the application of science-based models is only possible within ome preset conditions or constraints. Moreover, the science-based equations are often ither incomplete or too complicated to allow the use of a deterministic approach. Even hen science-based equations are known and are quite clear, the measurement errors

nd many unknown factors complicate the analysis and interpretation of the results. herefore, the problem of data and model integration/assimilation is an extremely omplex one.