Slide 14: Cautionary note on modelling in general
There are several things to be borne in mind whatever the model used: most important of all is the GIGO (Garbage in, garbage out ) principle - the results of a model can never be better than the data used to construct and run it. If the basic input data is incorrect, this error can be multiplied many times over.
All assumptions of the model, both implicit and explicit, must be understood and must be scientifically defensible.
Finally, models are an abstraction and simplification of reality - the accuracy and assumptions depend on the scale of the model, and so whilst the model will improve our understanding of the processes involved, it does not necessarily mean that the outputs are gospel truth.