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    Directional Spectra-based Clustering for Visualizing Patterns of Ocean Waves and Winds

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    Type
    Article
    Authors
    de Jesus Euan Campos, Carolina cc
    Sun, Ying cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Statistics Program
    Date
    2019-02-15
    Permanent link to this record
    http://hdl.handle.net/10754/631109
    
    Metadata
    Show full item record
    Abstract
    The energy distribution of wind-driven ocean waves is of great interest in marine science. Discovering the generating process of ocean waves is often challenging and the direction is the key for a better understanding. Typically, wave records are transformed into a directional spectrum which provides information about the wave energy distribution across different frequencies and directions. Here, we propose a new time series clustering method for a series of directional spectra in order to extract the spectral features of ocean waves and develop informative visualization tools to summarize identified wave clusters. We treat directional distributions as functional data of directions, and construct a directional functional boxplot to display the main directional distribution of the wave energy within a cluster. We also trace back when these spectra were observed, and we present color-coded clusters on a calendar plot to show their temporal variability. For each identified wave cluster, we analyze wind speed and wind direction hourly to investigate the link between wind data and wave directional spectra. The performance of the proposed clustering method is evaluated by simulations and illustrated by a real-world dataset from the red sea.
    Citation
    Euán C, Sun Y (2019) Directional Spectra-based Clustering for Visualizing Patterns of Ocean Waves and Winds. Journal of Computational and Graphical Statistics: 1–15. Available: http://dx.doi.org/10.1080/10618600.2019.1575745.
    Sponsors
    We thank Dr. Ibrahim Hoteit from Earth Fluid Modeling and Prediction group for sharing the Red Sea data set that was used in this paper.
    Publisher
    Informa UK Limited
    Journal
    Journal of Computational and Graphical Statistics
    DOI
    10.1080/10618600.2019.1575745
    Additional Links
    https://www.tandfonline.com/doi/full/10.1080/10618600.2019.1575745
    Relations
    Is Supplemented By:
    • [Dataset]
      Euán, C., & Sun, Y. (2019). Directional Spectra-Based Clustering for Visualizing Patterns of Ocean Waves and Winds [Data set]. Taylor & Francis. https://doi.org/10.6084/M9.FIGSHARE.7728569.V2. DOI: 10.6084/m9.figshare.7728569.v2 Handle: 10754/664440
    ae974a485f413a2113503eed53cd6c53
    10.1080/10618600.2019.1575745
    Scopus Count
    Collections
    Articles; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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