How do you validate a turbulence model without matching experimental data?

I work on turbulent flows where good experimental data are scarce, and reviewers often ask how I can trust a new model without a direct comparison.

I have tried grid convergence studies and comparisons with direct numerical simulation, but these only go so far.

How do you make the case that a turbulence model is credible when the ideal validation data simply do not exist?