Ocean Turbulent Dynamics at Superresolution From Optimal Multiresolution Analysis and Multiplicative Cascade

Abstract : The synoptic determination of ocean circulation using the data acquired from space, with a coherent depiction of its turbulent characteristics, remains a fundamental challenge in oceanography. This determination has the potential of revealing all aspects of the ocean dynamic variability on a wide range of spatiotemporal scales and will enhance our understanding of ocean–atmosphere exchanges at superresolution, as required in the present context of climate change. Here, we show a four-year time series of spatial superresolution (4 km) turbulent ocean dynamics generated from satellite data using emerging ideas in signal processing coming from nonlinear physics, low-resolution dynamics, and superresolution oceanic sea surface temperature data acquired from optical sensors. The method at its core consists in propagating across the scales the low-resolution dynamics in a multiresolution analysis computed on adimensional critical transition information.
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https://hal.inria.fr/hal-01166170
Contributeur : H. Yahia <>
Soumis le : lundi 22 juin 2015 - 11:56:34
Dernière modification le : mardi 29 mai 2018 - 12:50:53

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Joel Sudre, Hussein Yahia, Oriol Pont, Véronique Garçon. Ocean Turbulent Dynamics at Superresolution From Optimal Multiresolution Analysis and Multiplicative Cascade. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2015, 53 (11), pp.12. 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7119603〉. 〈10.1109/TGRS.2015.2436431〉. 〈hal-01166170〉

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