DYNAMIC MODELS
Dynamic models are the basis of weather forecasts, long-range models of climate change, and galactic movement. According to Nielsen-Gammon [2003], the following are the chief sources of error in dynamic models:
To improve a model:
- Do not merely copy computer output but temper it with your other knowledge of the phenomena you are modeling.
- Refine the model on the basis of the errors observed when it is applied to a test dataset. Note that errors may be either of position (in space or in time) or of magnitude.
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