An objective method for inferring sources of model error

Controlled sensitivity experiments tend to be more helpful, but even here the results can be misleading, since errors in one aspect of the model may mask or compensate for other errors such that improvements in one physical parameterization may actually result in a degradation in the overall performance of the model as measured by forecast skill or the accuracy of the simulated climate statistics. [...]we consider the regression model ...