Information-Modeling Technology for the Environmental Monitoring - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 47

Table 1.6 Characteristic of the BCSS global model units
Identi er of the unit in
Figs. 1.20 , 1.21 and 1.22

Characteristic of the unit functions

SMPS A set of models of the population size dynamics with regard

to the age structure (Logofet 2002; Caswell 2006). Matrix
population models are considered as a powerful tool for
investigating the population dynamic consequences of the
structure of the life cycle and the vital rates

SMCP A set of models of climatic processes with differently

detailed consideration of parameters and their correlations
(Kiehl and Gent 2004; Dessler 2011). Simple climate
models are the bases for the BCSS model

MMRC Model of the mineral resources control (Nitu et al. 2004;

Krapivin and Varotsos 2007, 2008; Krapivin 2008b). The
knowledge base of the BCSS model is filled with
information about the present distribution of the energy
sources and other natural resources listed in Fig. 1.21

MAP Model of agricultural production (Ashraf et al. 2012; Konrad

and Joachim 2013). The simple predictive agricultural
production models are based on the data of regional crops

MSTP Model of scientific-technical progress (Krapivin and

Varotsos 2007, 2008). Model re ects the tendency in the use

of global resources (Fig. 1.21 ) and economical growth

fl

CGMU Control of the global model units and database interface.

Coordination of inputs and outputs of all global model items
is provided

AGM Adjustment of the global model to the simulation experiment

conditions and its control. Delimitation of functional regions
between global model and regional GIMS is installed

PSR Preparation of simulation results to visualization or other

forms of account. Visualization panels and tabs help to
explore computational results. The results include
predictions, models, accuracy metrics and plots

MBWB Model of the biospheric water balance (Krapivin and

Kondratyev 2002; Krapivin and Shutko 2012)

MGBC Model of the global biogeochemical cycle of carbon dioxide

(Kondratyev et al. 2003c; Kondratyev and Krapivin 2004a, b)

MGBS Model of the global biogeochemical cycle of sulfur

compounds (Krapivin and Varotsos 2008)

MGBO Model of the global biogeochemical cycle of oxygen and

ozone (Krapivin 2000a)

MGBN Model of the global biogeochemical cycle of nitrogen

(Krapivin 2000c)

MGBP Model of the global biogeochemical cycle of phosphorus

(Krapivin and Kondratyev 2002)

SMKP A set of models of kinetics of some types of pollutants in

different media (Kondratyev et al. 2006a; Krapivin and
Potapov 2006a, b)

(continued)