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Developing simulation models
Author(s) -
James William
Publication year - 1972
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/wr008i006p01590
Subject(s) - extrapolation , computer science , sensitivity (control systems) , compromise , data collection , simulation modeling , field (mathematics) , engineering , mathematics , social science , statistics , mathematical economics , electronic engineering , sociology , pure mathematics , mathematical analysis
Simulation models are commonly resolved in time and space beyond the integrity of available field observations. Input data are fudged accordingly, and, ultimately, expensive simulation models coexist with inadequate data bases. Such manipulation is necessary in sensitivity analysis, but a compromise between data collection and model extrapolation must be found. The rationale for the systematic development of a simulation model and the concomitant data collection program is presented in this paper and should be useful for managing difficult simulation studies.