Meteo-Marine Parameters and Their Variability Observed by High Resolution Satellite Radar Images

Lehner, Susanne; Pleskachevsky, Andrey; Velotto, Domenico; Jacobsen, Sven

doi:10.5670/oceanog.2013.36

Cited by 21 publications

(11 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, TerraSAR-X data have been used to investigate the highly variable wave climate in coastal areas [3], [4], [5]. However, the use of these data at the sea ice boundary is still to be utilized in full detail.…”

Section: Methodsmentioning

confidence: 99%

Surface waves in arctic seas, observed from TerraSAR-X

Gemmrich

Pleskachevsky

Lehner

et al. 2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Self Cite

View full text Add to dashboard Cite

The need for wide-spread, up-to-date sea state observations in the emerging ice-free Arctic will further increase as the region will open up to marine operations. Here we present an example of spatial wave field parameters obtained from a TerraSAR-X StripMap swath in the southern Beaufort Sea. Significant wave heights varied from < 1m to > 2.2m over distances of less than 50km. These results are compared to current state-of-the-art implementation of spectral wave prediction models. Overall, good agreement is observed, and limitations of the remote sensing algorithm and the wave model are highlighted.Index Terms-Wave retrieval from SAR. Arctic sea state. Wavewatch III model -remote sensing comparison.

show abstract

Section: Methodsmentioning

confidence: 99%

Surface waves in arctic seas, observed from TerraSAR-X

Gemmrich

Pleskachevsky

Lehner

et al. 2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Self Cite

View full text Add to dashboard Cite

show abstract

“…for marine processes waves , in this issue), convective cells and rolls (Foster, 2013, in this issue), surface films and slicks , in this issue), and bathymetry in coastal waters (Lehner et al, 2013, in or Satellite Pour l'Observation de la Terre (SPOT) visible channels (Mitnik et al, 2000;Porter et al, 2001;Mitnik and Dubina, 2010). Comprehensive largescale experiments such as the Coastal…”

Section: Slicks As Indicatorsmentioning

confidence: 99%

Slicks as Indicators for Marine Processes

Gade¹,

Byfield²,

Ермаков³

et al. 2013

oceanog

View full text Add to dashboard Cite

“…For inferring the wind speed, a priori knowledge of the wind direction is required. Wind patterns in SAR images, i.e., the aforementioned wind streaks, typically provide a priori estimates of the wind direction [12]. Both the H S and the wind algorithm are based on nonlinear geophysical model functions.…”

Section: Sea State and Wind Data From The Terrasar-x Satellitementioning

confidence: 99%

The Potential of TerraSAR-X to Observe Wind Wave Interaction at the Ice Edge

Gebhardt

Bidlot

Jacobsen

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

View full text Add to dashboard Cite

This paper performs a study on sea state and wind fields at the ice edge boundary by utilizing information from different sources including synthetic aperture radar (SAR) satellite imagery, weather and sea state analyses from the European Centre for Medium-Range Weather Forecasts, shipborne in-situ measurements, and AMSR2 ice charts. The basis is a Stripmap scene from the TerraSAR-X satellite acquired on October 18, 2015, at ∼18 UTC, in support of the cruise of the research vessel R/V Sikuliaq in the Beaufort/Chukchi Sea. This scene covers an area with a length of more than 100 km and comprises both the marginal ice zone and, for the largest part, open water. The wave and wind field is retrieved from satellite at high spatial resolution using empirical retrieval algorithms. These algorithms are XWAVE and XMOD-2 specifically developed for X-Band SAR. XWAVE allows for determining the significant wave height not only for long swell waves, but also for short waves with their wave pattern being hardly visible from SAR. The latter is based on the analysis of image spectrum parameters and spectral noise. As well, the possibility of the imaging quality of longer waves visible from SAR being affected by SAR-specific nonlinear imaging effects is narrowed down. Both the wave and wind field are found to exhibit considerable spatial variability, and their relationship is analyzed. The relevance of the findings of this study with respect to wave/ice modeling is discussed.

show abstract

Meteo-Marine Parameters and Their Variability Observed by High Resolution Satellite Radar Images

Cited by 21 publications

References 5 publications

Surface waves in arctic seas, observed from TerraSAR-X

Surface waves in arctic seas, observed from TerraSAR-X

Slicks as Indicators for Marine Processes

The Potential of TerraSAR-X to Observe Wind Wave Interaction at the Ice Edge

Contact Info

Product

Resources

About