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Optimization of Sea Surface Current Retrieval Using a Maximum Cross-Correlation Technique on Modeled Sea Surface Temperature

Heuzé, Céline, 1988 (author)
Göteborgs universitet,University of Gothenburg
Carvajal, G. K. (author)
Chalmers tekniska högskola,Chalmers University of Technology
Eriksson, Leif, 1970 (author)
Chalmers tekniska högskola,Chalmers University of Technology
 (creator_code:org_t)
American Meteorological Society, 2017
2017
English.
In: Journal of Atmospheric and Oceanic Technology. - : American Meteorological Society. - 1520-0426 .- 0739-0572. ; 34:10, s. 2245-2255
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Using sea surface temperature from satellite images to retrieve sea surface currents is not a new idea, but so far its operational near-real-time implementation has not been possible. Validation studies are too region specific or uncertain, sometimes because of the satellite images themselves. Moreover, the sensitivity of the most common retrieval method, the maximum cross correlation, to the parameters that have to be set is unknown. Using model outputs instead of satellite images, biases induced by this method are assessed here, for four different seas of western Europe, and the best of nine settings and eight temporal resolutions are determined. The regions with strong currents return the most accurate results when tracking a 20-km pattern between two images separated by 6-9 h. The regions with weak currents favor a smaller pattern and a shorter time interval, although their main problem is not inaccurate results but missing results: where the velocity is too low to be picked by the retrieval. The results are not impaired by the restrictions imposed by ocean surface current dynamics and available satellite technology, indicating that automated sea surface current retrieval from sea surface temperature images is feasible, for pollution confinement, search and rescue, and even for more energy-efficient and comfortable ship navigation.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)

Keyword

Sensitivity studies
Ocean models
Algorithms
In situ oceanic observations
Remote sensing

Publication and Content Type

art (subject category)
ref (subject category)

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