Performance analysis of WRF and LES in describing the evolution and structure of the planetary boundary layer
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We implemented the Weather Research and Forecast (WRF) model and WRF Large-Eddy Simulation (WRF–LES), focusing on calculations for the planetary boundary layer (PBL), and compared the results against a data set of a well-documented campaign, in the Houston–Galveston area, Texas, in summer 2006. A methodology using WRF in a mesoscale and LES was implemented to assess the performance of the model in simulating the evolution and structure of the PBL over Houston during the Vertical Mixing Experiment. Also, the WRF model in a real case mode was examined to explore potential differences between the results of each simulation approach. We analyzed both WRF results for key meteorological parameters like wind speed, wind direction and potential temperature, and compared the model results against the observations. The reasonably good agreement of LES results forced with observed surface fluxes provides confidence that LES describes turbulence quantities such as turbulent kinetic energy correctly and warrants further turbulence structure analysis. The LES results indicate a weak but noticeable nighttime turbulent kinetic energy which was produced by wind shear in Houston’s planetary boundary layer and which may likely be related to intermittent turbulence. This is supported by observations made at the University of Houston Moody Tower air quality station when intermittent peaks of carbon monoxide occurred in the evening, although the variability in wind conditions was very little.
KeywordsPlanetary boundary layer WRF Large-eddy simulation WRF–LES TKE
We acknowledge the financial support provided by the Coordination for the Improvement of Higher Education Personnel (CAPES). We gratefully acknowledge financial and logistic support of the Houston Advanced Research Center (HARC) (Grant No.: H78 Modification C (582-4-65587)), the Texas Commission on Environmental Quality (TCEQ) (Grant No.: 582-5-64594-01), and the University of Houston to obtain the data within the TRAMP study.
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