How do you handle model output when observations are sparse?

I work on regional atmospheric modelling, and for some of my study areas there are very few surface or upper-air observations to compare against.

I can show that the model runs stably, but I'm never fully sure how much confidence to place in the results.

How do you decide when a model evaluation is convincing enough to publish when the observational record is thin?