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
Modeling the Climate System: Is model-based science like model-based engineering? from Steve Easterbrook
FNR Pearl Chair. Head of the Software Engineering RDI Unit at LIST. Affiliate Professor at University of Luxembourg. More about me.
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