Difference between revisions of "Model"

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:A detailed and explicit description of a computation procedure. 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]].<section end=glossary />
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:A detailed and explicit description of a computation procedure. {{disclink|Why description?}} 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 />
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Revision as of 09:10, 14 May 2008

<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
  • Purpose
    • Purpose (general)
    • Spatial coverage
    • Spatial resolution
    • Temporal coverage
    • Temporal resolution
    • Details / Scope
      • Pollutants / Stressors
      • Health effects
      • Population data
      • Source types of emissions / sectors
      • Physical information (e.g. meteorologies)
  • Structure of the process
    • Input format
      • Data sources
      • Input stemming from other models
    • Procedure
      • Procedure as such
      • Assumptions and constraints made to facilitate the calculation
    • Output format (incl. if the output is point estimates or a distribution)
      • Results
      • Output that goes into other models
  • Rationale
    • Rationale (general)
    • Weaknesses of the model
  • Technical information
    • Technical constraints (e.g. platforms)
    • User constraints (who could use the model? Must he/she be trained?)
  • See also
  • References