The Importance of Surface Layer Parameterization in Modeling of Stable Atmospheric Boundary Layers
constant flux layer, Deacon numbers, stable stratification, turbulence parameterization
Digital Object Identifier (DOI)
The accuracy of prediction of stable atmospheric boundary layers depends on the parameterization of the surface layer which is usually derived from the Monin–Obukhov similarity theory. In this article, several surface-layer models in the format of velocity and potential temperature Deacon numbers are compared with observations from CASES99, Cardington, and Halley datasets. The comparisons were hindered by a large amount of scatter within and among datasets. Tests utilizing R2 demonstrated that the quasi-normal scale elimination (QNSE) theory exhibits the best overall performance. Further proof of this was provided by 1D simulations with the Weather Research and Forecasting (WRF) model.
Was this content written or created while at USF?
Citation / Publisher Attribution
Atmospheric Science Letters, v. 16, issue 1, p. 83-88
Scholar Commons Citation
Tastula, Esa-Matti; Galperin, Boris; Sukoriansky, Semion; Luhar, Ashok; and Anderson, Phil, "The Importance of Surface Layer Parameterization in Modeling of Stable Atmospheric Boundary Layers" (2015). Marine Science Faculty Publications. 1498.