English Abstract Model calibration is usually an important part of the
modelling process. A well structured approach of this activity, supported
by general guidelines and techniques, will be especially beneficial of
practical applications. Particularly the study of the sensitivity and the
identifiability of the parameters (e.g. model coeffients, initial
conditions) has to be a relevant part of model calibration. Such a study
can reveal potential problems already during the early stages of the model
calibration process, and can offer useful suggestions to prevent their
occurrence. It will also be useful in post-calibration studies, e.g. when
analysing the problems of unsuccessful calibration runs. Several simple
methods are suggested for performing these analysis for a general class of
calibration problems. The advantages and disadvantages of these methodes
are briefly discussed. In particular attention is given to the problem of
local versus global analyses in the parameter space.
