Towards a swath-to-swath sea-ice drift product for the Copernicus
Imaging Microwave Radiometer mission

Lee, Thomas; Sole, Montserrat Pinol; Down, E. E.; Donlon, Craig

doi:10.5194/tc-2020-332

Cited by 5 publications

(12 citation statements)

References 10 publications

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“…The mean value of correlation coefficient of comparison between three KIMURAnew datasets and three buoys is 0.93, and of regression slope 255 is 0.97. We notice that comparison of KIMURAnew with the Ross Sea buoy (Table 2) exhibits relatively large RMSD (4.4 to 5.8 km day -1 ), considerably larger than that of the two Weddell Sea buoys (from 2.0 to 3.7 km day -1 ), as well as larger than the validation of DM-derived sea ice motion RMSD (from 2.3 to 2.9 km day -1 ) from Lavergne et al (2020). This difference in RMSD prompted further investigation into the performance difference between the Ross and Weddell seas.…”

Section: Validation Of Kimuranew Datasetsmentioning

confidence: 74%

“…To fully and accurately represent sea ice kinematics, some avenues for targeted research pathways are suggested here. From recent research, S2S-derived sea ice trajectories obtained from AMSR2 imagery have been found to be more accurate than the DM-derived equivalents (Lavergne et al, 2020). However, S2S products give better coverage of sea ice motion dataset in the Arctic compared to the Antarctic due to Antarctic sea ice existing at lower latitudes.…”

Section: Future Development Of Ice Kinematics Representationmentioning

confidence: 99%

“…Recently, Lavergne et al (2020) discussed the Copernicus Imaging Microwave Radiometer (CIMR) mission for both the Arctic and Antarctica. CIMR will be a conically-scanning sun-synchronous microwave radiometer mission by the European Space Agency, with a variety of attributes favourable for production of higher accuracy and resolution sea ice motion products, and is planned for launch in 2026 (Lavergne et al, 2020). However, sun-synchronous platforms are altitudeconstrained (Brown, 1998), which inherently limit their spatial resolution for a given antenna aperture.…”

Section: Future Development Of Ice Kinematics Representationmentioning

confidence: 99%

“…Recently sea ice motion has been estimated from PM-derived T B partial-overlap swath pairs from a wide range of temporal baselines (from one orbit of ~90 minutes, to 3 days). This approach is referred as "swath-to-swath" (S2S) (Lavergne et al, 2020). For S2S, the time base for derived motion is a function of the temporal separation of individual swath in each pair, hence differs between pairs (Lavergne et al, 2020).…”

mentioning

confidence: 99%

“…This approach is referred as "swath-to-swath" (S2S) (Lavergne et al, 2020). For S2S, the time base for derived motion is a function of the temporal separation of individual swath in each pair, hence differs between pairs (Lavergne et al, 2020). As such, the raw S2S-derived motion swath do not constitute a regular, full coverage time series.…”

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confidence: 99%

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Validation of a daily satellite-derived Antarctic sea ice velocity product: impacts on ice kinematics

Tian

Fraser

Kimura

et al. 2021

Preprint

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Abstract. Antarctic sea ice kinematic plays a crucial role in shaping the polar climate and ecosystems. Satellite passive microwave-derived sea ice motion data have been used widely for studying sea ice motion and deformation processes, and provide daily, global coverage at a relatively low spatial-resolution (in the order of 60 × 60 km). In the Arctic, several validated data sets of satellite observations are available and used to study sea ice kinematics, but far fewer validation studies exist for the Antarctic. Here, we compare the widely-used passive microwave-derived Antarctic sea ice motion product by Kimura et al. (2013) with buoy-derived velocities, and interpret the effects of satellite observational configuration on the representation of Antarctic sea ice kinematics. We identify two issues in the Kimura et al. (2013) product: (i) errors in two large triangular areas within the eastern Weddell Sea and western Amundsen Sea relating to an error in the input satellite data composite, and (ii) a more subtle error relating to invalid assumptions for the average sensing time of each pixel. Upon rectification of these, performance of the daily composite sea ice motion product is found to be a function of latitude, relating to the number of satellite swaths incorporated (more swaths further south as tracks converge), and the heterogeneity of the underlying satellite signal (brightness temperature here). Daily sea ice motion vectors calculated using ascending- and descending-only satellite tracks (with a true ~24 h time-scale) are compared with the widely-used combined product (ascending and descending tracks combined together, with an inherent ~39 h time-scale). This comparison reveals that kinematic parameters derived from the shorter time-scale velocity datasets are higher in magnitude than the combined dataset, indicating a high degree of sensitivity to observation time-scale. We conclude that the new generation of “swath-to-swath” (S2S) sea ice velocity datasets, encompassing a range of observational time scales, is necessary to advance future research into sea ice kinematics.

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Section: Validation Of Kimuranew Datasetsmentioning

confidence: 74%

Section: Future Development Of Ice Kinematics Representationmentioning

confidence: 99%

Section: Future Development Of Ice Kinematics Representationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Validation of a daily satellite-derived Antarctic sea ice velocity product: impacts on ice kinematics

Tian

Fraser

Kimura

et al. 2021

Preprint

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Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019

Zhang

Pang

Lei

et al. 2021

Intl Journal of Climatology

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Quantification of the spatial variability and long‐term changes of Arctic sea ice motion is important for understanding the mechanisms of rapid Arctic sea ice decline because sea ice motion determines ice mass advection, outflow, thickness redistribution, as well as the formation of leads and ridges associated with ice deformation. The spatiotemporal changes in Arctic sea ice motion between 1979 and 2019 and their responses to atmospheric forcing were analysed using satellite‐derived sea ice motion products and atmospheric reanalysis data. The pan‐Arctic average sea ice drift speed increased significantly for all seasons between 1979 and 2019 (p < .001). Rates of increase were higher in autumn and winter than in spring and summer. Spatially, rates of increase in the peripheral seas in the Pacific sector—the Beaufort, Chukchi and East Siberian Seas—were higher than in the central Arctic Ocean and the peripheral seas in the Atlantic sector—the Kara and Laptev Seas. On the contrary, Arctic wind speed increased significantly only in autumn (p < .01). However, the correlation between wind speed and ice speed was the lowest in this season, suggesting that wind forcing is unable to completely account for drift speed increase. In general, the trends in above‐average drift speeds—retrieved from grid cells with the relatively high drift speeds—were statistically significant and were larger than that in average drift speeds probably because of enhanced response of ice motion to extreme wind forcing. The influence of the Arctic Oscillation, Beaufort High, and North Atlantic Oscillation on the zonal ice speed was symmetrical between the Pacific and Atlantic sectors of the Arctic Ocean, while the influence of the Dipole Anomaly and the east–west surface air pressure gradient in central Arctic on the meridional ice speed was distributed in an annular pattern and was the strongest along the Transpolar Drift Stream.

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Sea Ice Production in the 2016 and 2017 Maud Rise Polynyas

2023

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Polynyas are regions of low sea ice concentration (SIC) or thickness where the comparatively warm ocean is exposed to the cold atmosphere. Coastal polynyas are mainly driven by katabatic winds, while sensible heat convection results in open-ocean/offshore polynyas (Morales Maqueda et al., 2004). Morales Maqueda et al. ( 2004) (and references therein) summarized that air-ice-ocean interactions in polynyas could impact: (a) the moisture and heat exchange between atmosphere and ocean and, therefore, the local wind dynamics; (b) the upper ocean properties and vertical flows of dense saline water through brine rejection and buoyancy loss; (c) the biogeochemical fluxes, for example, acting as the sinks of atmospheric CO 2 , between air and sea; and (d) the local ecosystems with extra phytoplankton and zooplankton, serving as "oases" in a polar ocean desert. In the Southern Ocean, open-ocean polynyas rarely occur but can reach a large extent. Such an open-ocean polynya, the Maud Rise polynya, opened in the vicinity of the Maud Rise seamount (centered on 64°S and 3°E)

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Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission

Cited by 5 publications

References 10 publications

Validation of a daily satellite-derived Antarctic sea ice velocity product: impacts on ice kinematics

Validation of a daily satellite-derived Antarctic sea ice velocity product: impacts on ice kinematics

Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019

Sea Ice Production in the 2016 and 2017 Maud Rise Polynyas

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