Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
Estimates of turbulence properties with Acoustic Doppler Current Profiler (ADCP) measurements can be muddled by the influence of wave orbital velocities. Previous methods—Variance Fit, Vertical Adaptive Filtering (VAF), and Cospectra Fit (CF)—have tried to eliminate wave-induced contamination. Howev...
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MDPI AG
2020-04-01
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Series: | Water |
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Online Access: | https://www.mdpi.com/2073-4441/12/4/1138 |
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author | Sangdon So Arnoldo Valle-Levinson Jorge Armando Laurel-Castillo Junyong Ahn Mohammad Al-Khaldi |
author_facet | Sangdon So Arnoldo Valle-Levinson Jorge Armando Laurel-Castillo Junyong Ahn Mohammad Al-Khaldi |
author_sort | Sangdon So |
collection | DOAJ |
description | Estimates of turbulence properties with Acoustic Doppler Current Profiler (ADCP) measurements can be muddled by the influence of wave orbital velocities. Previous methods—Variance Fit, Vertical Adaptive Filtering (VAF), and Cospectra Fit (CF)—have tried to eliminate wave-induced contamination. However, those methods may not perform well in relatively energetic surface gravity wave or internal wave conditions. The Harmonic Analysis (HA) method proposed here uses power spectral density to identify waves and least squares fits to reconstruct the identified wave signals in current velocity measurements. Then, those reconstructed wave signals are eliminated from the original measurements. Datasets from the northeastern Gulf of Mexico and Cape Canaveral, Florida, are used to test this approach and compare it with the VAF method. Reynolds stress estimates from the HA method agree with the VAF method in the lower half of the water column because wave energy decays with depth. The HA method performs better than the VAF method near the surface during pulses of increased surface gravity wave energy. |
first_indexed | 2024-03-10T20:24:47Z |
format | Article |
id | doaj.art-079e6cda2570496c829b5d8daf4c9bab |
institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-10T20:24:47Z |
publishDate | 2020-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Water |
spelling | doaj.art-079e6cda2570496c829b5d8daf4c9bab2023-11-19T21:51:33ZengMDPI AGWater2073-44412020-04-01124113810.3390/w12041138Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis ApproachSangdon So0Arnoldo Valle-Levinson1Jorge Armando Laurel-Castillo2Junyong Ahn3Mohammad Al-Khaldi4Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USACivil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USANational Water Commission, Mexico City 04340, MexicoMechanical and Civil Engineering, Florida Institute of Technology, Melbourne, FL 32901, USAKuwait Institute for Scientific Research, Safat 13109, KuwaitEstimates of turbulence properties with Acoustic Doppler Current Profiler (ADCP) measurements can be muddled by the influence of wave orbital velocities. Previous methods—Variance Fit, Vertical Adaptive Filtering (VAF), and Cospectra Fit (CF)—have tried to eliminate wave-induced contamination. However, those methods may not perform well in relatively energetic surface gravity wave or internal wave conditions. The Harmonic Analysis (HA) method proposed here uses power spectral density to identify waves and least squares fits to reconstruct the identified wave signals in current velocity measurements. Then, those reconstructed wave signals are eliminated from the original measurements. Datasets from the northeastern Gulf of Mexico and Cape Canaveral, Florida, are used to test this approach and compare it with the VAF method. Reynolds stress estimates from the HA method agree with the VAF method in the lower half of the water column because wave energy decays with depth. The HA method performs better than the VAF method near the surface during pulses of increased surface gravity wave energy.https://www.mdpi.com/2073-4441/12/4/1138turbulenceADCP measurementwave biasReynolds stress |
spellingShingle | Sangdon So Arnoldo Valle-Levinson Jorge Armando Laurel-Castillo Junyong Ahn Mohammad Al-Khaldi Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach Water turbulence ADCP measurement wave bias Reynolds stress |
title | Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach |
title_full | Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach |
title_fullStr | Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach |
title_full_unstemmed | Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach |
title_short | Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach |
title_sort | removing wave bias from velocity measurements for tracer transport the harmonic analysis approach |
topic | turbulence ADCP measurement wave bias Reynolds stress |
url | https://www.mdpi.com/2073-4441/12/4/1138 |
work_keys_str_mv | AT sangdonso removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach AT arnoldovallelevinson removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach AT jorgearmandolaurelcastillo removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach AT junyongahn removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach AT mohammadalkhaldi removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach |