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Ocean Surface Topography from Space
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Icarode: Integration and Cascading for High Resolution Ocean Dynamics


Author:

Hussein Yahia - (INRIA)

Co-Principal Investigator(s):
  Véronique Garcon (LEGOS)
Collaborator(s):
  Antonio Turiel
Christine Provost
Joel Sudre
Boris Dewitte
(ICM-CSIC)
(LOCEAN)
(LEGOS)
(IRD)

Abstract:


Icarode: Integration and Cascading for High Resolution Ocean Dynamics
Singularity exponents of the sea surface temperature from MODIS Aqua sensor for the 02/08/2007 and the "super resolution" reconstructed ocean dynamics associated
The ICARODE project is taking place in the wake of our previous Hiresubcolor proposal (Multiscale methods for the evaluation of high resolution ocean surface velocities and subsurface dynamics from ocean color, sst and altimetry), in which we performed first experiments on the generation of high resolution ocean dynamics using radical alternative methodologies based on the evaluation of the cascading properties of physical variables in the regime of Fully Developed Turbulence. Hiresubcolor was purely experimental, aimed at checking and parameterizing the algorithms needed in the evaluation of the cascade. The experiments conducted in Hiresubcolor have proved the validity of the approach [Yahia et al. 2010]. ICARODE will bring the methodology to a near-operational level. ICARODE is geared at the systematic production of high resolution ocean products using data fusion, multisensor approach and information inference along the scales of ocean turbulence. A near-operational code will be produced, and ICARODE will be the starting point of new software tools for exploiting ocean data products in the generation of high resolution ocean dynamics and monitoring. ICARODE will exploit the following data:
  • Altimetry (gridded products from AVISO).
  • Scatterometry products (wind data).
  • Imaging sensors (SST, Ocean Color, SAR data).
  • AIR SWOT (for future SWOT missions)

Hiresubcolor has successfully developed a new methodology based on multiscale non linear signal processing to assess high resolution ocean dynamics using different high and low resolution satellite signals such as Sea Surface Temperature (SST) or Ocean Color (OC). Hiresubcolor offers a challenging and competing approach for the evaluation of ocean dynamics: one of the most spectacular achievement is to be found in the evaluation of the microcanonical cascade between the scales of the acquired signals, so that successive temporal acquisitions are no longer needed for the evaluation of high resolution dynamics. Different spatial acquisitions of signals at the same time are needed instead, so that, using the Hiresubcolor approach, the problem of generating high resolution motion maps is rather shifted towards a spatial data fusion problem. This is a major enhancement in comparison to other methods based on various conservation hypothesis. The validation results performed on simulation data show that the vector fields computed with the methodology developed in Hiresubcolor are closer to physical fields [Pottier et al. 2008, Yahia et al. 2010, Pont et al. 2011a, Pont et al. 2011b, Sudre et al. 2011a, Sudre et al. 2011b, Sudre et Maes 2012, Sudre et al. 2010a, Sudre et al. 2010b, Sudre et al. 2009a, Sudre et al. 2008]. The methodology and experiments conducted during Hiresubcolor are very general and open the way to highly valued continuations, studies and generalizations. For this purpose, we introduce a new proposal whose main goals are:

  • to explore the spatio-temporal similarities and differences of ocean dynamics provided by the SST (the first microns of the surface ocean) and ocean color signals (integrated over the optical depth), and develop new high resolution differential products derived from these ocean dynamics such as divergence, curl etc. and explore over different oceanic study areas,
  • to increase the resolution of Sea Surface Salinity SMOS products by MMF/MC method, and combine with SST at the same resolution to obtain a high resolution Sea Surface Density product (SSD),
  • to use SAR high resolution data in the derivation of cascading information,
  • to generate high-resolution altimetry products (sea surface height) from low-resolution available altimetry products and cascade information obtained from imaging sensors, (validation with Air SWOT data),
  • to promote and diffuse the new methodologies in the oceanographic community.



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