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Further Aspects of Large Eddy Simulation Model Statistics and Inconsistencies with Field Data

Ernest AgeeDepartment of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana

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Alexander GluhovskyDepartment of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana

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Abstract

This study has employed the concept of bandpass filtering of aircraft field data that are obtained within convective planetary boundary layers, for the purpose of comparing the characteristic turbulence statistics with the results of large eddy simulation (LES) models. Field data from Project LESS (10 January 1984) conducted over Lake Michigan in wintertime cold air outbreaks have been used to demonstrate the validity of the concept presented. These results show excellent agreement in variance statistics for LESS filtered data and LES model simulations; however, agreement in the skewness statistics is unsatisfactory. This is attributed to either the authors’ inability to design a proper bandpass filter or the lack of an adequate dataset for computing third-moment statistics.

Corresponding author address: Dr. Ernest M. Agee, Department of Earth and Atmospheric Sciences, Purdue University, 1397 CIVL Building, West Lafayette, IN 47907-1397.

Email: eagee@purdue.edu

Abstract

This study has employed the concept of bandpass filtering of aircraft field data that are obtained within convective planetary boundary layers, for the purpose of comparing the characteristic turbulence statistics with the results of large eddy simulation (LES) models. Field data from Project LESS (10 January 1984) conducted over Lake Michigan in wintertime cold air outbreaks have been used to demonstrate the validity of the concept presented. These results show excellent agreement in variance statistics for LESS filtered data and LES model simulations; however, agreement in the skewness statistics is unsatisfactory. This is attributed to either the authors’ inability to design a proper bandpass filter or the lack of an adequate dataset for computing third-moment statistics.

Corresponding author address: Dr. Ernest M. Agee, Department of Earth and Atmospheric Sciences, Purdue University, 1397 CIVL Building, West Lafayette, IN 47907-1397.

Email: eagee@purdue.edu

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