How Good Are Models that Don't Model Accurately?

SEE HERE and HERE The point is that we have been in a period of global cooling for 12 years. The highest temperature year globally on record was 1998 (do you remember anything terrible about that by the way?) and since then we've been trending down. Now the whole time the vaunted global climate models have been trending up. In short, they are wrong! It's pretty much that simple. Models that predict an upward trend in a period when the reality is a downward trend are wrong.

We don't really know why they are wrong. If we did, doubtless we'd plug in the necessary factors to the model and we'd be back on track. Models work that way. You model the effects you think you understand and compare your results to the data. Usually there are some undetermined factors, calling them "fudge factors" would not be too far off. Adjusting the factors one seeks to get the smallest variation from the actual data and then run the model forward to see what it predicts.

This process can continue for a long time. A model is good if the data matches and bad if the data doesn't match. Read that sentence again. A model is good if the data matches and bad if the data doesn't match.
Sorry climate modelers ... your models are seriously deficient. So why should be believe them at all? Tell me that story again.