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

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