Experiments conducted for better understanding the mechanism of processes in environmental systems require usually a long time and large finances (Merdun 2006; Kňava et al. 2008). Models, as complementary tools, are simplified versions of the real systems (prototypes) and none of them can either represent the real processes in the real systems in sufficient detail or be assumed universal (Rosbjerg 2005) due to complexity and scale dependence of involved processes, their natural variability and purpose of the modeling itself. Classifications are given in Box IV.20. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Orfánus, T. (2010). Modeling and simulation. In Applied Agrometeorology (pp. 997–1003). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-74698-0_117
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