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Analyzing the footprints of near-surface aqueous turbulence: An image processing-based approach

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Title: Analyzing the footprints of near-surface aqueous turbulence: An image processing-based approach
Authors: Schnieders, J., Garbe, C. S., Peirson, W. L., Smith, G. B., Zappa, Christopher J.
Publisher Information: American Geophysical Union
Publication Year: 2013
Collection: Columbia University: Academic Commons
Subject Terms: Turbulence--Mathematical models, Image processing--Data processing, Ocean circulation--Data processing, Surface waves (Oceanography), Oceanography, Mathematics, Hydrology
Description: In this contribution, a detailed investigation of surface thermal patterns on the water surface is presented, with wind speeds ranging from 1 to 7 m s − 1 and various surface conditions. Distinct structures can be observed on the surface—small-scale short-lived structures termed fish scales and larger-scale cold streaks that are consistent with the footprints of Langmuir circulations. The structure of the surface heat pattern depends strongly on wind-induced stress. Consistent behavior regarding the spacing of cold streaks can be observed in a range of laboratory facilities when expressed as a function of water-sided friction velocity, u * . This behavior systematically decreased until a point of saturation at u * = 0.7 cm/s. We present a new image processing-based approach to the analysis of the spacing of cold streaks based on a machine learning approach to classify the thermal footprints of near-surface turbulence. Comparison is made with studies of Langmuir circulation and the following key points are found. Results suggest a saturation in the tangential stress, anticipating that similar behavior will be observed in the open ocean. A relation to Langmuir numbers shows that thermal footprints in infrared images are consistent with Langmuir circulations and depend strongly on wind wave conditions.
Document Type: article in journal/newspaper
Language: English
Relation: https://doi.org/10.7916/D8P84BRH
DOI: 10.7916/D8P84BRH
Availability: https://doi.org/10.7916/D8P84BRH
Accession Number: edsbas.8AE4D07
Database: BASE
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  – Url: https://doi.org/10.7916/D8P84BRH#
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PubType: Academic Journal
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  Data: Analyzing the footprints of near-surface aqueous turbulence: An image processing-based approach
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  Data: <searchLink fieldCode="AR" term="%22Schnieders%2C+J%2E%22">Schnieders, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Garbe%2C+C%2E+S%2E%22">Garbe, C. S.</searchLink><br /><searchLink fieldCode="AR" term="%22Peirson%2C+W%2E+L%2E%22">Peirson, W. L.</searchLink><br /><searchLink fieldCode="AR" term="%22Smith%2C+G%2E+B%2E%22">Smith, G. B.</searchLink><br /><searchLink fieldCode="AR" term="%22Zappa%2C+Christopher+J%2E%22">Zappa, Christopher J.</searchLink>
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  Data: American Geophysical Union
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2013
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  Data: Columbia University: Academic Commons
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  Data: <searchLink fieldCode="DE" term="%22Turbulence--Mathematical+models%22">Turbulence--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing--Data+processing%22">Image processing--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+circulation--Data+processing%22">Ocean circulation--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+waves+%28Oceanography%29%22">Surface waves (Oceanography)</searchLink><br /><searchLink fieldCode="DE" term="%22Oceanography%22">Oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrology%22">Hydrology</searchLink>
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  Label: Description
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  Data: In this contribution, a detailed investigation of surface thermal patterns on the water surface is presented, with wind speeds ranging from 1 to 7 m s − 1 and various surface conditions. Distinct structures can be observed on the surface—small-scale short-lived structures termed fish scales and larger-scale cold streaks that are consistent with the footprints of Langmuir circulations. The structure of the surface heat pattern depends strongly on wind-induced stress. Consistent behavior regarding the spacing of cold streaks can be observed in a range of laboratory facilities when expressed as a function of water-sided friction velocity, u * . This behavior systematically decreased until a point of saturation at u * = 0.7 cm/s. We present a new image processing-based approach to the analysis of the spacing of cold streaks based on a machine learning approach to classify the thermal footprints of near-surface turbulence. Comparison is made with studies of Langmuir circulation and the following key points are found. Results suggest a saturation in the tangential stress, anticipating that similar behavior will be observed in the open ocean. A relation to Langmuir numbers shows that thermal footprints in infrared images are consistent with Langmuir circulations and depend strongly on wind wave conditions.
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  Data: English
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  Data: https://doi.org/10.7916/D8P84BRH
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  Data: 10.7916/D8P84BRH
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  Data: https://doi.org/10.7916/D8P84BRH
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  Data: edsbas.8AE4D07
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      – Text: English
    Subjects:
      – SubjectFull: Turbulence--Mathematical models
        Type: general
      – SubjectFull: Image processing--Data processing
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      – SubjectFull: Ocean circulation--Data processing
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      – SubjectFull: Surface waves (Oceanography)
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      – SubjectFull: Oceanography
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      – TitleFull: Analyzing the footprints of near-surface aqueous turbulence: An image processing-based approach
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              Y: 2013
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