High-fidelity scale-resolving simulations of turbulent flows quickly become prohibitively expensive, especially at high Reynolds numbers. As a remedy, we may use multifidelity models (MFM) to construct predictive for flow quantities interest (QoIs), with the purpose uncertainty quantification, data fusion and optimization. For numerical simulation turbulence, there is hierarchy methodologies ra...