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Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images

The total energy dissipation rate on the ocean surface, [Formula: see text] (W m [Formula: see text]), provides a first-order estimation of the kinetic energy input rate at the ocean–atmosphere interface. Studies on the spatial and temporal distribution of the energy dissipation rate are important f...

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Autores principales: Viana, Rafael D., Lorenzzetti, João A., Carvalho, Jonas T., Nunziata, Ferdinando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697822/
https://www.ncbi.nlm.nih.gov/pubmed/33207621
http://dx.doi.org/10.3390/s20226540
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author Viana, Rafael D.
Lorenzzetti, João A.
Carvalho, Jonas T.
Nunziata, Ferdinando
author_facet Viana, Rafael D.
Lorenzzetti, João A.
Carvalho, Jonas T.
Nunziata, Ferdinando
author_sort Viana, Rafael D.
collection PubMed
description The total energy dissipation rate on the ocean surface, [Formula: see text] (W m [Formula: see text]), provides a first-order estimation of the kinetic energy input rate at the ocean–atmosphere interface. Studies on the spatial and temporal distribution of the energy dissipation rate are important for the improvement of climate and wave models. Traditional oceanographic research normally uses remote measurements (airborne and platforms sensors) and in situ data acquisition to estimate [Formula: see text]; however, those methods cover small areas over time and are difficult to reproduce especially in the open oceans. Satellite remote sensing has proven the potential to estimate some parameters related to breaking waves on a synoptic scale, including the energy dissipation rate. In this paper, we use polarimetric Synthetic Aperture Radar (SAR) data to estimate [Formula: see text] under different wind and sea conditions. The used methodology consisted of decomposing the backscatter SAR return in terms of two contributions: a polarized contribution, associated with the fast response of the local wind (Bragg backscattering), and a non-polarized (NP) contribution, associated with wave breaking (Non-Bragg backscattering). Wind and wave parameters were estimated from the NP contribution and used to calculate [Formula: see text] from a parametric model dependent of these parameters. The results were analyzed using wave model outputs (WAVEWATCH III) and previous measurements documented in the literature. For the prevailing wind seas conditions, the [Formula: see text] estimated from pol-SAR data showed good agreement with dissipation associated with breaking waves when compared to numerical simulations. Under prevailing swell conditions, the total energy dissipation rate was higher than expected. The methodology adopted proved to be satisfactory to estimate the total energy dissipation rate for light to moderate wind conditions (winds below 10 m s [Formula: see text]), an environmental condition for which the current SAR polarimetric methods do not estimate [Formula: see text] properly.
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spelling pubmed-76978222020-11-29 Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images Viana, Rafael D. Lorenzzetti, João A. Carvalho, Jonas T. Nunziata, Ferdinando Sensors (Basel) Article The total energy dissipation rate on the ocean surface, [Formula: see text] (W m [Formula: see text]), provides a first-order estimation of the kinetic energy input rate at the ocean–atmosphere interface. Studies on the spatial and temporal distribution of the energy dissipation rate are important for the improvement of climate and wave models. Traditional oceanographic research normally uses remote measurements (airborne and platforms sensors) and in situ data acquisition to estimate [Formula: see text]; however, those methods cover small areas over time and are difficult to reproduce especially in the open oceans. Satellite remote sensing has proven the potential to estimate some parameters related to breaking waves on a synoptic scale, including the energy dissipation rate. In this paper, we use polarimetric Synthetic Aperture Radar (SAR) data to estimate [Formula: see text] under different wind and sea conditions. The used methodology consisted of decomposing the backscatter SAR return in terms of two contributions: a polarized contribution, associated with the fast response of the local wind (Bragg backscattering), and a non-polarized (NP) contribution, associated with wave breaking (Non-Bragg backscattering). Wind and wave parameters were estimated from the NP contribution and used to calculate [Formula: see text] from a parametric model dependent of these parameters. The results were analyzed using wave model outputs (WAVEWATCH III) and previous measurements documented in the literature. For the prevailing wind seas conditions, the [Formula: see text] estimated from pol-SAR data showed good agreement with dissipation associated with breaking waves when compared to numerical simulations. Under prevailing swell conditions, the total energy dissipation rate was higher than expected. The methodology adopted proved to be satisfactory to estimate the total energy dissipation rate for light to moderate wind conditions (winds below 10 m s [Formula: see text]), an environmental condition for which the current SAR polarimetric methods do not estimate [Formula: see text] properly. MDPI 2020-11-16 /pmc/articles/PMC7697822/ /pubmed/33207621 http://dx.doi.org/10.3390/s20226540 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Viana, Rafael D.
Lorenzzetti, João A.
Carvalho, Jonas T.
Nunziata, Ferdinando
Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images
title Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images
title_full Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images
title_fullStr Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images
title_full_unstemmed Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images
title_short Estimating Energy Dissipation Rate from Breaking Waves Using Polarimetric SAR Images
title_sort estimating energy dissipation rate from breaking waves using polarimetric sar images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697822/
https://www.ncbi.nlm.nih.gov/pubmed/33207621
http://dx.doi.org/10.3390/s20226540
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