ASAR imaging for coastal upwelling in the Baltic Sea

Kozlov, Igor E.; Kudryavtsev, V. N.; Johannessen, Johnny A.; Chapron, Bertrand; Dailidienė, Inga; Myasoedov, Alexander

doi:10.1016/j.asr.2011.08.017

Cited by 42 publications

(28 citation statements)

References 16 publications

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“…Lehmann and Myrberg 2008), a direct manifestation of eddies in SAR images due to thermal contrasts is not very common. Apparently for that reason, Kozlov et al (2012) and Gurova, Lehmann, and Ivanov (2013) had to share their most striking example of such an eddy manifestation in an Envisat ASAR scene encountered as early as in 2006.…”

Section: Mechanisms Of Eddy Visualization In Sar Imagesmentioning

confidence: 95%

“…In the Baltic Sea this mechanism is possible in the near-coastal area during strong upwelling events. Detailed examinations of such cases were provided by Kozlov et al (2012) and Gurova, Lehmann, and Ivanov (2013). Nevertheless, in spite of the frequent appearance of upwelling events in the Baltic Sea (e.g.…”

Section: Mechanisms Of Eddy Visualization In Sar Imagesmentioning

confidence: 99%

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Improved statistics of sub-mesoscale eddies in the Baltic Sea retrieved from SAR imagery

Karimova

Gade

2016

International Journal of Remote Sensing

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In the present article the spatio-temporal distribution of submesoscale eddies seen in Envisat Advanced Synthetic Aperture Radar (ASAR) imagery of the Baltic Sea is discussed. A total of 1250 ASAR images acquired between 2009 and 2011 form the basis of our studies and show imprints of almost 7000 sub-mesoscale eddies. Since the visibility of vortical structures in synthetic aperture radar (SAR) imagery significantly depends on the nearsurface wind speed, wind data from a numerical model of the Baltic Sea were additionally used to obtain improved eddy statistics. Seasonally averaged fields of near-surface wind speed, surface currents, sea surface temperature (SST), and SST gradient were also analysed in order to reveal the role of these hydrophysical parameters in the observed spatial and temporal variation of submesoscale eddies.

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Section: Mechanisms Of Eddy Visualization In Sar Imagesmentioning

confidence: 95%

Section: Mechanisms Of Eddy Visualization In Sar Imagesmentioning

confidence: 99%

Improved statistics of sub-mesoscale eddies in the Baltic Sea retrieved from SAR imagery

Karimova

Gade

2016

International Journal of Remote Sensing

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“…This sort of dark patch with capricious geometries is often observed on wind-roughened water surfaces at low incidence angle SAR images. Some authors have related these patches to wind-induced upwellings in thermally stratified coastal water bodies [37]. However, the physical explanation to these features has not yet been studied in Doñana.…”

Section: Flood Mapping From the Asar Imagesmentioning

confidence: 99%

Envisat/ASAR Images for the Calibration of Wind Drag Action in the Doñana Wetlands 2D Hydrodynamic Model

et al. 2013

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Doñana National Park wetlands are located in southwest Spain, on the right bank of the Guadalquivir River, near the Atlantic Ocean coast. The wetlands dry out completely every summer and progressively flood again throughout the fall and winter seasons. Given the flatness of Doñana's topography, the wind drag action can induce the flooding or emergence of extensive areas, detectable in remote sensing images. Envisat/ASAR scenes acquired before and during strong and persistent wind episodes enabled the spatial delineation of the wind-induced water displacement. A two-dimensional hydrodynamic model of Doñana wetlands was built in 2006 with the aim to predict the effect of proposed hydrologic restoration actions within Doñana's basin. In this work, on-site wind records and concurrent ASAR scenes are used for the calibration of the wind-drag modeling by assessing different formulations. Results show a good adjustment between the modeled and observed wind drag effect. Displacements of up to 2 km in the wind direction are satisfactorily reproduced by the hydrodynamic model, while including an atmospheric stability parameter led to no significant improvement of the results. Such evidence will contribute to a more accurate simulation of hypothetic or design scenarios, when no information is available for the atmospheric stability assessment.

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“…Regarding oceanic phenomena, currents were modeled and observed extensively by Chubb, Cooper, Jansen, Fusina, and Askari (1999), Kudryavtsev, Akimov, Johannessen, and Chapron (2005) and Kudryavtsev, Kozlov, Chapron, and Johannessen (2014); fronts were examined in the Gulf Stream by Chubb et al (1999); storm water and waste water plume detection was shown in South California Bight by Remote Sensing of Environment xxx (2015) xxx-xxx Digiacomo, Washburn, Holt, and Jones (2004); eddies have been studied by Ivanov and Ginzburg (2002) and Karimova (2012); and oil spill detection was examined by Singha, Velotto, and Lehner (2014), Topouzelis, Karathanassi, Pavlakis, and Rokos (2007) and Xu, Li, and Brenning (2014). In addition, upwelling zones have been detected using SAR data in the Baltic Sea (Kozlov et al, 2012) and internal waves have been found in many sea areas (Hsu, Liu, & Liu, 2000;Zhao, Klemas, Zheng, Li, & Yan, 2004).…”

Section: Introductionmentioning

confidence: 99%

Detection and classification of mesoscale atmospheric phenomena above sea in SAR imagery

Topouzelis

Kitsiou

2015

Remote Sensing of Environment

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ASAR imaging for coastal upwelling in the Baltic Sea

Cited by 42 publications

References 16 publications

Improved statistics of sub-mesoscale eddies in the Baltic Sea retrieved from SAR imagery

Improved statistics of sub-mesoscale eddies in the Baltic Sea retrieved from SAR imagery

Envisat/ASAR Images for the Calibration of Wind Drag Action in the Doñana Wetlands 2D Hydrodynamic Model

Detection and classification of mesoscale atmospheric phenomena above sea in SAR imagery

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