Information-Modeling Technology for the Environmental Monitoring - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 40

accounting for the interaction of the biosphere, climate system, magnetosphere, etc.
it is necessary to apply the evolutionary approach which helps to overcome the
uncertainties in the description of this interaction. As a result of the adjustment of
such a model to the history of the prescribed cycle, we will obtain a model
implicitly tracing various regularities of the dynamics of the biosphere in the past
and allowing for forecast assessments to be made in the same temporal cycle.
A special-processor version of this model completely removes all the existing
algorithmic and computing hurdles arising from the large dimensionality of the
global model and the conditions of irreducible nonparametrical uncertainty.
Figure 1.18 shows the conceptual diagram of this new type of global model. The
data archive is formed here as two structures. Data of the first type for the computer

models of the biosphere processes are stored as climatic maps and as tables of the
model equation coef

fill in all cells of the schematic maps.
Data of the second type are represented as fragments recorded disparately (possibly
irregularly) in time and space, i.e. CO 2 concentration, temperature, precipitation,
pressure, population numbers, availability of resources, etc. Data of this type are
used to adjust the evolutionary processor to the given class of models, e.g.

cients. It is necessary to

finite
automata. As a result of this procedure the model is adapted to the history of the
prescribed time cycle. As has been shown by Bukatova et al. (1991) a stable

Fig. 1.18 Structure of global model using the evolutionary blocks