Remote Sensing of Waves Propagating in the Marginal Ice Zone by SAR

Shen, Hui; Perrie, Will; Hu, Yan; He, Yijun

doi:10.1002/2017jc013148

Cited by 21 publications

(18 citation statements)

References 44 publications

(95 reference statements)

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“…The behaviors of ),-./01213 and PSD in Figures 1 and 4 may come from multiple mechanisms. The decrease 360 of ),-./01213 towards the interior ice is in agreement with a similar study in the MIZ (Shen et al, 2018), as well as the lengthening of dominant wave periods commonly reported in many field observations (e.g., Robin, 1963;Wadhams et al, 1988;Marko, 2003;Kohout et al 2014;Collins et al, 2015). The phenomenon is commonly explained by the low pass filter mechanism in literature.…”

Section: Evolution Of Wave Characteristicssupporting

confidence: 91%

Spectral attenuation of gravity wave and model calibration in pack ice

Cheng

Stopa

Ardhuin

et al. 2019

Preprint

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Abstract. We investigate an instance of wave propagation in the fall of 2015 in thin pack ice (<0.3 m) and use the resulting attenuation data to calibrate two viscoelastic wave-in-ice models that describe wave evolution. The study domain is 400 km by 300 km adjacent to a marginal ice zone (MIZ) in the Beaufort Sea. From Sentinel-1A synthetic aperture radar (SAR) imagery, the ice cover is divided into two regions delineated by the first appearance of leads. According to the quality of SAR retrievals, we focus on a range of wavenumbers corresponding to 9∼15 s waves from the open water dispersion relation. By pairing directional wave spectra from different locations, we obtain wavenumber-dependent attenuation rates, which slightly increase with increasing wavenumber before the first appearance of leads and become lower and more uniform against wavenumber in thicker ice after that. The results are used to calibrate two viscoelastic wave-in-ice models through optimization. For the Wang and Shen (2010) model, the calibrated equivalent shear modulus and viscosity of the pack ice are roughly one order of magnitude greater than that in grease/pancake ice reported in Cheng et al. (2017). These parameters obtained for the extended Fox and Squire model are much larger than laboratory values, as found in Mosig et al. (2015) using data from the Antarctic MIZ. This study shows a promising way of using remote sensing data with large areal coverage to conduct model calibration for various types of ice cover.

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Section: Evolution Of Wave Characteristicssupporting

confidence: 91%

Spectral attenuation of gravity wave and model calibration in pack ice

Cheng

Stopa

Ardhuin

et al. 2019

Preprint

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“…In addition to the ice edge, there is another change of 208 in the clockwise direction along Y 5 475 km. We expect the more dramatic changes in directions are effects of refraction (at the ice edge or due to a change in the ice thickness) (e.g., Shen et al, 2018). The overall pattern of Figure 7.…”

Section: Wave Parametersmentioning

confidence: 95%

“…In addition to the ice edge, there is another change of 20° in the clockwise direction along Y = 475 km. We expect the more dramatic changes in directions are effects of refraction (at the ice edge or due to a change in the ice thickness) (e.g., Shen et al, ). The overall pattern of the wave directions can be explained by the angular spreading of wave energy and can be captured by a numerical wave model without including such a refraction (see Part 2: Figure 9a, Ardhuin et al, ).…”

Section: Processing Of Sar Images In the Mizmentioning

confidence: 99%

Wave Attenuation Through an Arctic Marginal Ice Zone on 12 October 2015: 1. Measurement of Wave Spectra and Ice Features From Sentinel 1A

et al. 2018

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A storm with significant wave heights exceeding 4 m occurred in the Beaufort Sea on 11–13 October 2015. The waves and ice were captured on 12 October by the Synthetic Aperture Radar (SAR) on board Sentinel‐1A, with Interferometric Wide swath images covering 400 × 1,100 km at 10 m resolution. This data set allows the estimation of wave spectra across the marginal ice zone (MIZ) every 5 km, over 400 km of sea ice. Since ice attenuates waves with wavelengths shorter than 50 m in a few kilometers, the longer waves are clearly imaged by SAR in sea ice. Obtaining wave spectra from the image requires a careful estimation of the blurring effect produced by unresolved wavelengths in the azimuthal direction. Using in situ wave buoy measurements as reference, we establish that this azimuth cutoff can be estimated in mixed ocean‐ice conditions. Wave spectra could not be estimated where ice features such as leads contribute to a large fraction of the radar backscatter variance. The resulting wave height map exhibits a steep decay in the first 100 km of ice, with a transition into a weaker decay further away. This unique wave decay pattern transitions where large‐scale ice features such as leads become visible. As in situ ice information is limited, it is not known whether the decay is caused by a difference in ice properties or a wave dissipation mechanism. The implications of the observed wave patterns are discussed in the context of other observations.

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“…The spatial evolution of the wave field in off-ice wind conditions is analyzed by (Gemmrich et al, 2018). Other remote sensing data include ice classification from fully polarized SAR data (Shen et al, 2018), and wave and ice floe mapping from airborne LIDAR data (Sutherland & Gascard, 2016).…”

Section: In Situ Observations (R/v Sikuliaq Cruise)mentioning

confidence: 99%

Overview of the Arctic Sea State and Boundary Layer Physics Program

Ackley²,

et al. 2018

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A large collaborative program has studied the coupled air‐ice‐ocean‐wave processes occurring in the Arctic during the autumn ice advance. The program included a field campaign in the western Arctic during the autumn of 2015, with in situ data collection and both aerial and satellite remote sensing. Many of the analyses have focused on using and improving forecast models. Summarizing and synthesizing the results from a series of separate papers, the overall view is of an Arctic shifting to a more seasonal system. The dramatic increase in open water extent and duration in the autumn means that large surface waves and significant surface heat fluxes are now common. When refreezing finally does occur, it is a highly variable process in space and time. Wind and wave events drive episodic advances and retreats of the ice edge, with associated variations in sea ice formation types (e.g., pancakes, nilas). This variability becomes imprinted on the winter ice cover, which in turn affects the melt season the following year.

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Remote Sensing of Waves Propagating in the Marginal Ice Zone by SAR

Cited by 21 publications

References 44 publications

Spectral attenuation of gravity wave and model calibration in pack ice

Spectral attenuation of gravity wave and model calibration in pack ice

Wave Attenuation Through an Arctic Marginal Ice Zone on 12 October 2015: 1. Measurement of Wave Spectra and Ice Features From Sentinel 1A

Overview of the Arctic Sea State and Boundary Layer Physics Program

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