Is model-based science like model-based engineering? – The case of climate models

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Slides of Steve Easterbrook‘s keynote talk at Models 2015 titled: Modeling the Climate System: Is model-based science like model-based engineering? are below.

For those that do not have time to go through them, let me just write down the major points in his summary slide which I believe are very important take aways:

  • A model is never complete but is sometimes good enough
  • Models are for improving our understanding and asking what-if questions
  • Models enable close cross-disciplinary collaboration
  • Model integration is difficult and inevitable
  • A solitary model has little value
  • When the model and the data disagree is often the data that are wrong
  • A model is most valuable when it surprises you
  • A model won’t make sense out of context

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