TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows
This dataset addresses the need for high-quality, multi-scale turbulent flow data for researchers in data assimilation and computer vision, though it is incremental as it builds on existing simulation methods.
The authors introduced TURB-Rot, a large open database of 3D and 2D snapshots from turbulent rotating flows generated via Direct Numerical Simulations, providing roughly 300K complex images and fields for testing in data assimilation and computer vision.
We present TURB-Rot, a new open database of 3d and 2d snapshots of turbulent velocity fields, obtained by Direct Numerical Simulations (DNS) of the original Navier-Stokes equations in the presence of rotation. The aim is to provide the community interested in data-assimilation and/or computer vision with a new testing-ground made of roughly 300K complex images and fields. TURB-Rot data are characterized by multi-scales strongly non-Gaussian features and rough, non-differentiable, fields over almost two decades of scales. In addition, coming from fully resolved numerical simulations of the original partial differential equations, they offer the possibility to apply a wide range of approaches, from equation-free to physics-based models. TURB-Rot data are reachable at http://smart-turb.roma2.infn.it