Assessment of Gradient-Based Similarity Functions in the Stable Boundary Layer Derived from a Large-Eddy Simulation

作者：Sorbjan Zbigniew^*

来源：Boundary-Layer Meteorology, 2017, 163(3): 375-392.

DOI：10.1007/s10546-017-0234-5

• Gradient-based similarity
• Large-eddy simulation
• Local scaling systems
• Surface Heat Budget of the Arctic Ocean (SHEBA) data
• Stable boundary layer

Gradient-based similarity functions, evaluated based on data generated by a large-eddy simulation model of the stably stratified boundary layer, are compared with analogous similarity functions, derived from field observations in the surface layer during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment in the Arctic. The comparison is performed in terms of explicit and implicit local scaling systems, for the temperature and momentum fluxes, standard deviations of the vertical velocity and of temperature, as well as dissipation rates for the turbulent kinetic energy and for the temperature variance. The comparison shows the best agreement of the SHEBA-based similarity functions with analogous functions evaluated using the large-eddy simulation data in the range of the Richardson number .

• 出版日期2017-6