activity
20182022
most citedDeep learning for subgrid-scale turbulence modeling in large-eddy simulations of the atmospheric boundary layer

11 citations · 12 across the 2 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn20221 cited

Lattice eddy simulation of turbulent flows

Jinglei Xu, Qi Li, Xianxu Yuan +3

Kolmogorov's (1941) theory of self-similarity implies the universality of small-scale eddies, and holds promise for a universal sub-grid scale model for large eddy simulation. The…

physics.flu-dyn2020

On the logarithmic profile of temperature in the atmospheric convective boundary layers

Yu Cheng, Qi Li, Pierre Gentine

Wall-bounded turbulent flows are widely observed in natural and engineering systems, such as air flows near the Earth's surface, water flows in rivers, and flows around a car or a…

physics.flu-dyn201911 cited

Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the atmospheric boundary layer

Yu Cheng, Marco Giometto, Pit Kauffmann +7

In large-eddy simulations, subgrid-scale (SGS) processes are parameterized as a function of filtered grid-scale variables. First-order, algebraic SGS models are based on the eddy-v…

physics.flu-dyn2018

Contrasts Between Momentum and Scalar Transport Over Very Rough Surfaces

Qi Li, Elie Bou-Zeid

Large-eddy simulations are conducted to contrast momentum and passive scalar transport over large, three-dimensional roughness elements in a turbulent channel flow. Special attenti…

physics.ao-ph2018

On the Power-law Scaling of Turbulence Cospectra Part 1: Stably Stratified Atmospheric Boundary Layer

Yu Cheng, Qi Li, Andrey Grachev +3

Turbulent fluxes in the atmospheric surface layer are key input for the prediction of weather, hydrology, and carbon dioxide concentration. In numerical modelling of turbulent flux…