December 28, 2017
Journal Article

Spatiotemporal variability of turbulence kinetic energy budgets in the convective boundary layer over both simple and complex terrain

Abstract

The assumption of sub-grid scale (SGS) horizontal homogeneity within a model grid cell, which forms the basis of SGS turbulence closures used by mesoscale models, becomes increasingly tenuous as grid spacing is reduced to a few kilometers or less, such as in many emerging high-resolution applications. Herein, we use the turbulence kinetic energy (TKE) budget equation to study the spatio-temporal variability in two types of terrain—complex (Columbia Basin Wind Energy Study [CBWES] site, north-eastern Oregon) and flat (ScaledWind Farm Technologies [SWiFT] site, west Texas) using the Weather Research and Forecasting (WRF) model. In each case six-nested domains (three domains each for mesoscale and large-eddy simulation [LES]) are used to downscale the horizontal grid spacing from 10 km to 10 m using the WRF model framework. The model output was used to calculate the values of the TKE budget terms in vertical and horizontal planes as well as the averages of grid cells contained in the four quadrants (a quarter area) of the LES domain. The budget terms calculated along the planes and the mean profile of budget terms show larger spatial variability at CBWES site than at the SWiFT site. The contribution of the horizontal derivative of the shear production term to the total production shear was found to be 45% and 15% of the total shear, at the CBWES and SWiFT sites, respectively, indicating that the horizontal derivatives applied in the budget equation should not be ignored in mesoscale model parameterizations, especially for cases with complex terrain with

Revised: March 31, 2018 | Published: December 28, 2017

Citation

Rai R.K., L.K. Berg, M.S. Pekour, W.J. Shaw, B. Kosovic, J.D. Mirocha, and B.L. Ennis. 2017. Spatiotemporal variability of turbulence kinetic energy budgets in the convective boundary layer over both simple and complex terrain. Journal of Applied Meteorology and Climatology 56, no. 12:3285-3302. PNNL-SA-125867. doi:10.1175/JAMC-D-17-0124.1