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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
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The Performance of a Time-Varying Filter Time Under Stable Conditions over Mountainous Terrain
Manuela Lehner1, Mathias W Rotach1
1Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria.
Summary
Researchers analyzed eddy-covariance data to find the best filter time for separating turbulent and non-turbulent motions. A constant filter time of 2-3 minutes effectively removes non-turbulent motions while retaining turbulence data.
Area of Science:
- Atmospheric Science
- Turbulence Research
- Boundary Layer Meteorology
Background:
- Eddy-covariance technique is crucial for measuring turbulent fluxes.
- Distinguishing between turbulent and non-turbulent motions is essential for accurate flux calculations.
- Previous studies have used various filter times, with inconsistent results.
Purpose of the Study:
- Determine the optimal gap scale for separating turbulent and non-turbulent motions.
- Evaluate the performance of time-varying versus constant filter times.
- Investigate the influence of atmospheric stability and wind speed on filter time selection.
Main Methods:
- Analysis of eddy-covariance data from five Austrian stations under stable conditions.
- Application of Fourier analysis and multi-resolution flux decomposition to calculate (co)spectra.
- Correlation analysis between gap scale, mean wind speed, and stability parameter (z/L).
Main Results:
- A correlation was found between gap scale, mean wind speed, and stability parameter (z/L).
- Both a time-varying filter time and a constant filter time of 2-3 minutes effectively separated turbulent from non-turbulent motions.
- The impact of filter time on turbulence statistics varied with parameters and location, affecting horizontal components and fluxes more than vertical wind variance.
Conclusions:
- A constant filter time of 2-3 minutes is recommended for separating turbulent and non-turbulent motions in the Inn Valley.
- Time-varying filter times, while theoretically sound, did not offer significant advantages over well-chosen constant filter times in this study.
- The findings provide practical guidance for processing eddy-covariance data to improve turbulence measurements.
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