Model

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<section begin=glossary />

A detailed and explicit description of a computation procedure. D↷ A model can be automatically run by a computer after the input parameters have been entered. The output of the computation is optimally the result of a variable. A model relates to the "management" subattribute of the "process" template. [1]<section end=glossary />


Model description

Model description contains the general format for the description of models.

  • Summary
    • How to access
  • Name
  • Scope
    • Purpose
      • The method that this model relates to. (All methods are about information processing, and all models are managing a particular method.)
      • The management needs for which the model is needed (instead of just ad hoc management of the method).
    • Boundaries (related to the part of reality that the model deals with)
      • Spatial coverage
      • Spatial resolution
      • Temporal coverage
      • Temporal resolution
      • Pollutants / Stressors
      • Health effects
      • Population data
      • Source types of emissions / sectors
      • Physical information (e.g. meteorologies)
    • Technical constraints (e.g. platforms)
    • Intellectual property rights (who is allowed to access or use the model?)
    • Users constraints (who could use the model? Must he/she be trained?)
  • Structure of the process
    • Input
      • Data sources
      • Input stemming from other models
    • Procedure
      • Procedure as such
      • Assumptions and constraints made to facilitate the calculation
    • Output (incl. if the output is point estimates or a distribution)
      • Results
      • Output that goes into other models
  • Rationale
    • Rationale (general)
    • Weaknesses of the model
  • See also
  • References

References

  1. Wikipedia and old working definition of SP 4.