Model

<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. <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