Comparison of seasonal sea-ice thickness change in the Transpolar Drift observed by local ice mass-balance observations and floe-scale EM surveys

Haas, Christian; Goff, Hervé Le; Audrain, Samuel; Perovich, D. K.; Haapala, Jari

doi:10.3189/172756411795931778

Cited by 18 publications

(16 citation statements)

References 21 publications

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“…the fact that the higher the frequency, the faster the wave propagation, and its dependence on the ice thickness, to invert the average thickness of Tara's floe. The results agreed well with electromagnetic measurements and drill hole profiles conducted on the same floe (Haas et al, 2011), thus validating the use of a classical concept (the dependence of wave propagation on ice thickness) to passively monitor sea ice thickness on a regular basis over horizontal scales from 10 0 to 10 2 km.…”

Section: Sea Ice Deformationsupporting

confidence: 75%

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

et al. 2014

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Abstract. The Arctic climate system includes numerous highly interactive small-scale physical processes in the atmosphere, sea ice, and ocean. During and since the International Polar Year 2007-2009, significant advances have been made in understanding these processes. Here, these recent advances are reviewed, synthesized, and discussed. In atmospheric physics, the primary advances have been in cloud physics, radiative transfer, mesoscale cyclones, coastal, and fjordic processes as well as in boundary layer processes and surface fluxes. In sea ice and its snow cover, advances have been made in understanding of the surface albedo and its relationships with snow properties, the internal structure of sea ice, the heat and salt transfer in ice, the formation of superimposed ice and snow ice, and the small-scale dynamics of sea ice. For the ocean, significant advances have been related to exchange processes at the ice-ocean interface, diapycnal mixing, double-diffusive convection, tidal currents and diurnal resonance. Despite this recent progress, some of these small-scale physical processes are still not sufficiently understood: these include wave-turbulence interactions in the atmosphere and ocean, the exchange of heat and salt at the ice-ocean interface, and the mechanical weakening of sea ice. Many other processes are reasonably well understood as stand-alone processes but the challenge is to understand their interactions with and impacts and feedbacks on other processes. Uncertainty in the parameterization of small-scale processes continues to be among the greatest challenges facing climate modelling, particularly in high latitudes. Further improvements in parameterization require new year-round field campaigns on the Arctic sea ice, closely combined with satellite remote sensing studies and numerical model experiments.

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Section: Sea Ice Deformationsupporting

confidence: 75%

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

et al. 2014

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“…They are however likely to be characteristic of the ice floe the three stations 1, 2, and 3 were placed on. Moreover, it should be noted that very little change in ice thickness was observed between May 8 and June 26, as shown by a repeat of the survey conducted along the same 2160 m-long line (Haas et al, 2011).…”

Section: Datamentioning

confidence: 94%

“…Haas et al (2011) have shown that the ice thickness shrinks by only a few cm over this time period. This change is less than the error of 0.2 m on our estimate, so that it is best to run the analysis on the whole 663 h to maximize the robustness of the estimation.…”

Section: A Ice Thicknessmentioning

confidence: 96%

“…This is a strong assumption, as pack ice typically exhibits an heterogeneous distribution, e.g., Wadhams et al (2006). For the EM and DH profiles conducted close to our seismic stations, the ice thickness has been found by Haas et al (2011) to vary from 1.5 to 8 m, with a standard deviation of 1.02 m (DH) and 1.11 m (EM, long profile) on May 8, 2007.…”

Section: F Test For Variable Ice Thicknessmentioning

confidence: 98%

“…During this experiment, an independent ice thickness dataset was collected at or close to the location of the array (Haas et al, 2011). On May 8, 2007, drill-hole (DH) measurements were performed every 5 m along a 800 m-long profile, see Fig. 2.…”

Section: Datamentioning

confidence: 99%

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Sea-ice thickness measurement based on the dispersion of ice swell

Marsan

Weiss

Larose

et al. 2012

The Journal of the Acoustical Society of America

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The dispersion of flexural waves propagating in the Arctic sea ice cover is exploited in order to locally measure the ice thickness. The observed dispersion, for waves filtered in the 4-20 s period interval, at up to 4 broad-band seismometers deployed in Spring 2007 near the North Pole, is compared to a parameterized model that accounts for a complex wavefield made of a superposition of independent plane waves with different amplitudes and back-azimuth angles. The parameterization, that includes finding the best modeled ice thickness, is performed by using the cross-correlation functions between the seismometers. The ice thickness is estimated to 2.5 ± 0.2 m for the ~1 km-large floe the seismic stations were deployed on, which is coherent with other, independent measurements at this site. This study thus demonstrates the feasibility of using broad-band seismometers deployed on the sea-ice in order to passively measure the ice thickness, without requiring active sources nor human intervention.

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Thin Sea Ice, Thick Snow, and Widespread Negative Freeboard Observed During N‐ICE2015 North of Svalbard

et al. 2018

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In recent years, sea‐ice conditions in the Arctic Ocean changed substantially toward a younger and thinner sea‐ice cover. To capture the scope of these changes and identify the differences between individual regions, in situ observations from expeditions are a valuable data source. We present a continuous time series of in situ measurements from the N‐ICE2015 expedition from January to June 2015 in the Arctic Basin north of Svalbard, comprising snow buoy and ice mass balance buoy data and local and regional data gained from electromagnetic induction (EM) surveys and snow probe measurements from four distinct drifts. The observed mean snow depth of 0.53 m for April to early June is 73% above the average value of 0.30 m from historical and recent observations in this region, covering the years 1955–2017. The modal total ice and snow thicknesses, of 1.6 and 1.7 m measured with ground‐based EM and airborne EM measurements in April, May, and June 2015, respectively, lie below the values ranging from 1.8 to 2.7 m, reported in historical observations from the same region and time of year. The thick snow cover slows thermodynamic growth of the underlying sea ice. In combination with a thin sea‐ice cover this leads to an imbalance between snow and ice thickness, which causes widespread negative freeboard with subsequent flooding and a potential for snow‐ice formation. With certainty, 29% of randomly located drill holes on level ice had negative freeboard.

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Comparison of seasonal sea-ice thickness change in the Transpolar Drift observed by local ice mass-balance observations and floe-scale EM surveys

Abstract: International audienceNot Availabl

Cited by 18 publications

References 21 publications

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

Sea-ice thickness measurement based on the dispersion of ice swell

Thin Sea Ice, Thick Snow, and Widespread Negative Freeboard Observed During N‐ICE2015 North of Svalbard

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