Wavelet analysis of NOAA AVHRR multichannel surface temperature of the Japan Sea

Alexander Ostrovskii

doi:10.1117/12.228635

18 December 1995 Wavelet analysis of NOAA AVHRR multichannel surface temperature of the Japan Sea

Alexander Ostrovskii

Proceedings Volume 2586, Global Process Monitoring and Remote Sensing of the Ocean and Sea Ice; (1995) https://doi.org/10.1117/12.228635
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

The NOAA advanced very high resolution radiometer (AVHRR) multichannel sea surface temperature (SST) images of the Japan Sea are analyzed with the orthonormal wavelet transform (WT) technique. The decoding-encoding WT allows better representation of the subpolar front, mesoscale eddies, and streamers that appear in the SST patterns. The analysis shows remarkable difference in the typical SST patterns in October 1993 and April-May 1994. While SST patterns were fuzzy in autumn, they appeared sharp in spring. The plumes of irregular shapes with characteristic horizontal scale of less than 30 km developed over the SST field at the beginning of the cooling season when the horizontal temperature gradients were essentially eroded. In contrast, very narrow and elongated up to 100 km streaks appeared at the beginning of the heating season when the temperature gradients were sharp. The spectral analysis of SST results in the power law behavior of k^-2.0 in October and k^-2.8 in May, for the scales ranging from 10 km to 100 km. These observations suggest that the surface cooling in the autumn favors the enhancement of three dimensional mixing, while during the onset of heating the horizontal stirring becomes more pronounced at geostrophic turbulence scales.

Citation Download Citation

Alexander Ostrovskii "Wavelet analysis of NOAA AVHRR multichannel surface temperature of the Japan Sea", Proc. SPIE 2586, Global Process Monitoring and Remote Sensing of the Ocean and Sea Ice, (18 December 1995); https://doi.org/10.1117/12.228635

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KEYWORDS

Wavelets

Turbulence

Wavelet transforms

Computer programming

Visualization

Clouds

Fourier transforms

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