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Hydrologic Semantics
Author(s) -
Matalas Nicholas C.,
Maddock Thomas
Publication year - 1976
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr012i001p00123
Subject(s) - identification (biology) , semantics (computer science) , computer science , set (abstract data type) , calibration , mathematical model , artificial intelligence , theoretical computer science , programming language , mathematics , statistics , botany , biology
There is an aura of mystique that surrounds mathematical modeling of water resources systems. Perhaps some of the mystique is due to the semantics of modeling rather than to the accomplishments of modeling. The literature describes three basic steps in mathematical modeling: (1) identification, (2) calibration, and (3) verification. Identification implies that one has available a set of models that covers all aspects of the physical system of interest and has sufficient information to select the model that applies.