modellfidelity
Modellfidelity refers to the degree to which a model reproduces the essential characteristics of the real system or process it aims to represent. It encompasses structural, parametric, and dynamic aspects, and is a key consideration in modeling, simulation, and decision support. Higher fidelity means closer alignment with reality but often comes with increased data requirements, complexity, and computation time.
Fidelity can be described along a spectrum from low-fidelity models—simplified, analytic, or rule-based—to high-fidelity models, which
Assessing fidelity involves validation and verification. Validation compares model outputs with observed data; verification checks that
Factors affecting fidelity include input data quality, the appropriateness of assumptions, level of detail, and resource
Applications span product design, digital twins, training simulations, and policy modeling. Examples include high-fidelity computational fluid
See also: model validation, model calibration, digital twin.