Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Analyzing the footprints of near-surface aqueous turbulence: An image processing-based approach |
| Συγγραφείς: |
Schnieders, J., Garbe, C. S., Peirson, W. L., Smith, G. B., Zappa, Christopher J. |
| Στοιχεία εκδότη: |
American Geophysical Union |
| Έτος έκδοσης: |
2013 |
| Συλλογή: |
Columbia University: Academic Commons |
| Θεματικοί όροι: |
Turbulence--Mathematical models, Image processing--Data processing, Ocean circulation--Data processing, Surface waves (Oceanography), Oceanography, Mathematics, Hydrology |
| Περιγραφή: |
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. |
| Τύπος εγγράφου: |
article in journal/newspaper |
| Γλώσσα: |
English |
| Relation: |
https://doi.org/10.7916/D8P84BRH |
| DOI: |
10.7916/D8P84BRH |
| Διαθεσιμότητα: |
https://doi.org/10.7916/D8P84BRH |
| Αριθμός Καταχώρησης: |
edsbas.8AE4D07 |
| Βάση Δεδομένων: |
BASE |