dc.contributor |
Universitat Politècnica de Catalunya. Departament de Física |
dc.contributor |
Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.contributor |
Universitat Politècnica de Catalunya. EGEO - Enginyeria Geomàtica |
dc.contributor |
Universitat Politècnica de Catalunya. FLUMEN - Dinàmica Fluvial i Enginyeria Hidrològica |
dc.contributor |
Universitat Politècnica de Catalunya. GREMS - Grup de Recerca en Mineria Sostenible |
dc.contributor |
Universitat Politècnica de Catalunya. DF - Dinàmica de Fluids: formació d'estructures i aplicacions geofísiques |
dc.contributor.author |
Redondo Apraiz, José Manuel |
dc.contributor.author |
Martínez Benjamín, Juan José |
dc.contributor.author |
Tellez Alvarez, Jackson David |
dc.contributor.author |
Jorge Sánchez, Juan |
dc.contributor.author |
Díez Rilova, Margarita |
dc.contributor.author |
Sekula, Emil |
dc.coverage.spatial |
_ |
dc.date |
2016 |
dc.identifier.citation |
Redondo, J. M. [et al.]. Ocean classification of dynamical structures detected by SAR and spectral methods. A: European Space Agency Living Planet Symposium. "Proceedings of Living Planet Symposium 2016: 9-13 May 2016: Prague, Czech Republic". Paris: European Space Agency (ESA), 2016, p. 1-6. |
dc.identifier.citation |
978-92-9221-305-3 |
dc.identifier.uri |
http://hdl.handle.net/2117/133960 |
dc.language.iso |
eng |
dc.publisher |
European Space Agency (ESA) |
dc.rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids |
dc.subject |
Àrees temàtiques de la UPC::Física::Física de fluids |
dc.subject |
Atmospheric turbulence |
dc.subject |
Spectrum analysis |
dc.subject |
Deformation |
dc.subject |
Diffusion |
dc.subject |
Fractals |
dc.subject |
Oceanography |
dc.subject |
Satellite imagery |
dc.subject |
Space-based radar |
dc.subject |
Synthetic aperture radar |
dc.subject |
Turbulence |
dc.subject |
Vortex flow |
dc.subject |
Fractal spectrum |
dc.subject |
Ocean turbulence |
dc.subject |
Oil slicks |
dc.subject |
SAR analysis |
dc.subject |
Vortex statistics |
dc.subject |
Turbulència atmosfèrica |
dc.subject |
Anàlisi espectral |
dc.title |
Ocean classification of dynamical structures detected by SAR and spectral methods |
dc.type |
info:eu-repo/semantics/draft |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.description.abstract |
We discuss a taxonomy of different dynamical featuresin the ocean surface and provide some eddy
and frontstatistics, as well as describing some events detected byseveral satellites and even with additional cruise
observationsand measurements, in the North-west MediterraneanSea area between 1996 and 2012. The structureof
the flows are presented using self-similar traces thatmay be used to parametrize mixing at both limits of the Ross by
Deformation Radius scale, RL. Results showthe ability to identify different SAR signatures and at thesame time provide calibrations for the different local configurationsof vortices, spirals, Langmuir cells, oil spillsand tensioactive slicks that
eventually allow the study ofthe self-similar structure of the turbulence. Dependingon the surface wind and wave level,
and also on the fetch.the bathimetry, the spiral parameters and the resolution of vortical features change. Previous
descriptions did not includethe new wind and buoyancy features. SAR imagesalso show the turbulence structure
of the coastal area andthe Regions of Fresh Water Influence (ROFI). It is not eworthytt such complex coastal fielddependent
behavioris strongly influenced by stratification and rotation of theturbulence spectrum is observed only
in the range smallerthan the local Ross by deformation radius, RL. The measuresof diffusivity from buoy or tracer
experiments areused to calibrate the behavior of different tracers and pollutants,both natural and man-made in the NW
MediterraneanSea. Thanks to different polarization and intensitylevels in ASAR satellite imagery, these can be usedto
distinguish between natural and man-made sea surfacefeatures due to their distinct self-similar and fractal as afunction
of spill and slick parameters, environmental conditionsand history of both oil releases and weather conditions.Eddy
diffusivity map derived from SAR measurementsof the ocean surface, performing a feature spatialcorrelation of the
available images of the region are presented.Both the multi fractal discrimination of the localfeatures and the diffusivity
measurements are importantto evaluate the state of the environment. The distributionof meso-scale vortices of size,
the Ross by de for mationscale and other dominant features can be used to distinguishfeatures in the ocean surface.
Multi-fractal analysisis then very use full. The SAR images exhibited a largevariation of natural features produced
by winds, internalwaves, the bathymetric distribution, by convection, rain,etc as all of these produce variations in
the sea surfaceroughness so that the topological changes may be studiedand classified. In a similar way bathimetry
may bestudied with the methodology described here using thecoastline and the thal wegs as generators of local
verticalvorticity. |
dc.description.abstract |
Peer Reviewed |