Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis

In the marine environment, the recorded time series are often nonlinear and nonstationary and interact with each other. Their analysis faces new challenges and thus requires the implementation of adequate and specific methods. We use the Hilbert-Huang Transform (HHT) for the spectral analysis of hig...

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Published in:OCEANS 2017 - Aberdeen
Main Author: Kbaier Ben Ismail, Dhouha
Format: Conference Object
Language:unknown
Published: IEEE 2017
Subjects:
Online Access:https://oro.open.ac.uk/74113/
https://doi.org/10.1109/OCEANSE.2017.8084905
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spelling ftopenunivgb:oai:oro.open.ac.uk:74113 2023-06-11T04:07:33+02:00 Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis Kbaier Ben Ismail, Dhouha 2017-10-26 https://oro.open.ac.uk/74113/ https://doi.org/10.1109/OCEANSE.2017.8084905 unknown IEEE Kbaier Ben Ismail, Dhouha <http://oro.open.ac.uk/view/person/dk6467.html> (2017). Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis. In: OCEANS 2017 - Aberdeen, IEEE pp. 1–5. Conference or Workshop Item None PeerReviewed 2017 ftopenunivgb https://doi.org/10.1109/OCEANSE.2017.8084905 2023-05-28T06:04:42Z In the marine environment, the recorded time series are often nonlinear and nonstationary and interact with each other. Their analysis faces new challenges and thus requires the implementation of adequate and specific methods. We use the Hilbert-Huang Transform (HHT) for the spectral analysis of high frequency sampled time series in near shore waters of Cambridge Bay, located in the Canadian Arctic. We focus particularly on automatic measurements of temperature records, salinity, turbidity and chlorophyll data sets from deployments on an Ocean Networks Canada cabled platform. We look at the contribution of different Intrinsic Mode Functions (IMFs) obtained by the Empirical Mode Decomposition (EMD). The inertial wave and several low-frequency tidal waves are identified by the application of EMD. Furthermore, the correlation between two nonstationary time series is investigated. By Time Dependent Intrinsic Correlation (TDIC) analysis, it was concluded that the high-frequency modes have small correlation; whereas the trends are perfectly correlated. The methodologies presented in this paper are general. They can be applied for identification of main properties of other time series from the environmental and oceanic sciences, where the records are complex with fluctuations over a large range of different spatial and temporal scales. Conference Object Arctic Arctic Cambridge Bay The Open University: Open Research Online (ORO) Arctic Cambridge Bay ENVELOPE(-105.130,-105.130,69.037,69.037) Canada OCEANS 2017 - Aberdeen 1 5
institution Open Polar
collection The Open University: Open Research Online (ORO)
op_collection_id ftopenunivgb
language unknown
description In the marine environment, the recorded time series are often nonlinear and nonstationary and interact with each other. Their analysis faces new challenges and thus requires the implementation of adequate and specific methods. We use the Hilbert-Huang Transform (HHT) for the spectral analysis of high frequency sampled time series in near shore waters of Cambridge Bay, located in the Canadian Arctic. We focus particularly on automatic measurements of temperature records, salinity, turbidity and chlorophyll data sets from deployments on an Ocean Networks Canada cabled platform. We look at the contribution of different Intrinsic Mode Functions (IMFs) obtained by the Empirical Mode Decomposition (EMD). The inertial wave and several low-frequency tidal waves are identified by the application of EMD. Furthermore, the correlation between two nonstationary time series is investigated. By Time Dependent Intrinsic Correlation (TDIC) analysis, it was concluded that the high-frequency modes have small correlation; whereas the trends are perfectly correlated. The methodologies presented in this paper are general. They can be applied for identification of main properties of other time series from the environmental and oceanic sciences, where the records are complex with fluctuations over a large range of different spatial and temporal scales.
format Conference Object
author Kbaier Ben Ismail, Dhouha
spellingShingle Kbaier Ben Ismail, Dhouha
Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis
author_facet Kbaier Ben Ismail, Dhouha
author_sort Kbaier Ben Ismail, Dhouha
title Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis
title_short Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis
title_full Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis
title_fullStr Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis
title_full_unstemmed Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis
title_sort time-frequency analysis of long-term marine data from cambridge bay in the canadian arctic. high resolution adcp, ctd and fluorometer time series analysis
publisher IEEE
publishDate 2017
url https://oro.open.ac.uk/74113/
https://doi.org/10.1109/OCEANSE.2017.8084905
long_lat ENVELOPE(-105.130,-105.130,69.037,69.037)
geographic Arctic
Cambridge Bay
Canada
geographic_facet Arctic
Cambridge Bay
Canada
genre Arctic
Arctic
Cambridge Bay
genre_facet Arctic
Arctic
Cambridge Bay
op_relation Kbaier Ben Ismail, Dhouha <http://oro.open.ac.uk/view/person/dk6467.html> (2017). Time-Frequency analysis of long-term marine data from Cambridge Bay in the Canadian Arctic. High resolution ADCP, CTD and Fluorometer time series analysis. In: OCEANS 2017 - Aberdeen, IEEE pp. 1–5.
op_doi https://doi.org/10.1109/OCEANSE.2017.8084905
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