Model: Difference between revisions
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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. <ref>[ | :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. <ref>[[:en:Model|Wikipedia]] and old working definition of SP 4.</ref><section end=glossary /> | ||
[[Category:Glossary term]] | [[Category:Glossary term]] | ||
Revision as of 07:22, 16 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. [1]<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
- Input format
- 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 Model
- References