Seminar Physik und Chemie der Atmosphäre (Abstract)
Introduction to Data Assimilation
Johannes Kaiser & Jerome Meyer
Universität Bremen
11.5.2001, 13.00 c.t.
Raum S3121
Data assimilation is a powerful tool for analysing measurements with
respect to existing knowledge about behaviour of the considered system.
Depending on your point of view, it can also be regarded as a correction
mechanism for a model verified by some further information about the
current state of the system. Thus, there are naturally several methods
to assimilate observations and knowledge.
We'll try to outline the most important data assimilation techniques.
Furthermore a very simple example of photochemical reactions is
simulated by a so-called Marcov process. Casual observations are
assimilated to the model run.