The problem of accurate and reliable prediction of turbulent flows is a central and intractable challenge that crosses disciplinary boundaries. As the needs for accuracy increase and the applications expand beyond flows where extensive data is available for calibration, the importance of a sound mathematical foundation that addresses the needs of practical computing increases. This special issue is directed at this crossroads of rigorous numerical analysis, the physics of turbulence, and the practical needs of turbulent flow simulations. It contains papers providing a broad understanding of the status of the problem considered and open problems that comprise further steps. It consists of papers covering fundamentals, applications, theory, simulations, experiments, and reviews. The papers cover the general topics summarized below.Kubacki and Tran [1] present a modern, efficient approach for uncoupling groundwater-surface water flows governed by the fully evolutionary Stokes-Darcy equations. These algorithms treat the coupling terms explicitly and at each time level require only one sub-physics, sub-domain solve that can be done by codes highly optimized for individual processes. Obviously, such methods have greater accuracy and efficiency per time step than non-optimized, fully coupled, monolithic methods. Thus, the key to their utility is whether a price in stability must be paid. This paper presents algorithms with unconditional stability and high accuracy.Nguyen et al.[2] study the simulation and modeling of the dispersion from an instantaneous source of heat or mass located at the center of a turbulent flow channel. This work is at the intersection of high impact in applications and the leading edge of the understanding of turbulence modulation by transport effects.Bowers and Rebholz [3] present a review of recent results for the reduced Navier-Stokes-α (rNS-α) model of incompressible flow. The model was recently developed as a numerical approximation of the well-known Navier-Stokes-α model. Numerical simulations are far more efficient with the reduced model. Those simulations have revealed interesting features of the reduced model as an independent fluids model. Basse [4] presents a comparison of turbulence intensity profiles for smooth and rough wall pipe flow measurements made in the Princeton Superpipe. The profile development in the transition from smooth to rough wall flow is analyzed from the data. In this paper, the highly difficult problem wherein maximum insight must be obtained from available data is addressed.Chen and Lo [5] present a numerical study of coherent structure evolution in boundary layer transition flow using high order compact difference schemes with non-uniform grids in the wall-normal direction. Efficient solutions and high accuracy are provided in this interesting study.Maulik and San [6] present the results of a study solving two-dimensional (2D), compressible turbulence. Their paper compares two promising computational approaches and draws valuable conclusions.Brkić andĆojbašić [...