Surface-based radar imaging of sea ice

Haykin, S.; Currie, B. W.; Lewis, Edward O.; Nickerson, K.

doi:10.1109/proc.1985.13136

Cited by 15 publications

(2 citation statements)

References 14 publications

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“…The C‐band radars were replaced in 2004 by a HF radar network, which provides information on the location of the sea ice edge but not ice drift (Shirasawa et al, ). The earliest studies to employ coastal MRs focus on sea ice imaging, but also discuss the sea ice classification potential (i.e., distinguishing between open water, first‐year ice, multiyear ice, and icebergs; Flock, ; Haykin et al, ; Lewis et al, ; Shapiro & Metzner, ). More recently, a MR installed in Barrow, AK, has been used to study the attachment and detachment of nearshore ice (Druckenmiller et al, ; Mahoney et al, ).…”

Section: Introductionmentioning

confidence: 99%

Arctic Sea Ice Drift Measured by Shipboard Marine Radar

et al. 2018

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This study presents Arctic sea ice drift fields measured by shipboard marine X‐band radar (MR). The measurements are based on the maximum cross correlation between two sequential MR backscatter images separated ∼1 min in time, a method that is commonly used to estimate sea ice drift from satellite products. The advantage of MR is that images in close temporal proximity are readily available. A typical MR antenna rotation period is ∼1–2 s, whereas satellite revisit times can be on the order of days. The technique is applied to ∼4 weeks of measurements taken from R/V Sikuliaq in the Beaufort Sea in the fall of 2015. The resulting sea ice velocity fields have ∼500 m and up to ∼5 min resolution, covering a maximum range of ∼4 km. The MR velocity fields are validated using the GPS‐tracked motion of Surface Wave Instrument Float with Tracking (SWIFT) drifters, wave buoys, and R/V Sikuliaq during ice stations. The comparison between MR and reference sea ice drift measurements yields root‐mean‐square errors from 0.8 to 5.6 cm s−1. The MR sea ice velocity fields near the ice edge reveal strong horizontal gradients and peak speeds > 1 m s−1. The observed submesoscale sea ice drift processes include an eddy with ∼6 km diameter and vorticities <–2 (normalized by the Coriolis frequency) as well as converging and diverging flow with normalized divergences <–2 and >1, respectively. The sea ice drift speed correlates only weakly with the wind speed (r2 = 0.34), which presents a challenge to conventional wisdom.

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Section: Introductionmentioning

confidence: 99%

Arctic Sea Ice Drift Measured by Shipboard Marine Radar

et al. 2018

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“…The ship relied heavily on this radar for navigating through sea ice, particularly during the night and when visibility was low due to fog. X-band radar data have been used in ship-based studies of sea ice (e.g., Lund et al, 2018); S-band radar data have also been used for this purpose (Haykin et al, 1985).…”

Section: S-band Radar (Drushka 2023b)mentioning

confidence: 99%

Salinity and Stratification at the Sea Ice Edge (SASSIE): An oceanographic field campaign in the Beaufort Sea

Drushka,

Westbrook,

Bingham

et al. 2024

Preprint

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Abstract. As our planet warms, Arctic sea ice coverage continues to decline resulting in complex feedbacks with the climate system. The core objective of NASA’s Salinity and Stratification at the Sea Ice Edge (SASSIE) mission is to understand how ocean salinity and near-surface stratification affect upper ocean heat content, and thus sea ice freeze and melt. SASSIE specifically focuses on the formation of Arctic sea ice in autumn. The SASSIE field campaign in 2022 collected detailed observations of upper ocean properties and meteorology near the sea ice edge in the Beaufort Sea using ship-based and piloted and drifting assets. The observations collected during SASSIE include vertical profiles of stratification up to the sea surface, air-sea fluxes, and ancillary measurements that are being used to better understand the role of salinity in coupled Arctic air-sea-ice processes. This publication provides a detailed overview of the activities during the 2022 SASSIE campaign and presents the publicly available datasets generated by this mission, inducing an accompanying repository that highlights the numerical routines used to generate the figures shown in this manuscript.

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Unsupervised segmentation of spaceborne passive radar images

Eom¹

1999

Pattern Recognition Letters

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Surface-based radar imaging of sea ice

Cited by 15 publications

References 14 publications

Arctic Sea Ice Drift Measured by Shipboard Marine Radar

Arctic Sea Ice Drift Measured by Shipboard Marine Radar

Salinity and Stratification at the Sea Ice Edge (SASSIE): An oceanographic field campaign in the Beaufort Sea

Unsupervised segmentation of spaceborne passive radar images

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