On the use of electromagnetic induction sounding to determine winter and spring sea ice thickness in the Antarctic

Worby, A. P.; Griffin, P.W; Lytle, VI; Massom, Robert A.

doi:10.1016/s0165-232x(99)00003-8

Cited by 38 publications

(12 citation statements)

References 13 publications

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“…Melling and Riedel, 1995; 1996) or electromagnetic induction (EM) devices (e.g. Haas et al, 1997; Worby et al, 1999) will enable us to detect the small‐scale ice processes accompanied by the change in ice thickness. Understanding of the large‐scale ice process will go ahead by taking into account the interaction between the small‐scale and large‐scale phenomena, and parametrization of the interactive subgrid‐scale physics.…”

Section: Summary and Discussionmentioning

confidence: 99%

Large-scale processes governing the seasonal variability of the Antarctic sea ice

Kimura

Wakatsuchi

2011

Tellus A: Dynamic Meteorology and Oceanography

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The seasonal variability of sea‐ice cover in the Southern Ocean is examined using daily sea‐ice concentration and ice velocity products for 2003–2009, derived from Advanced Microwave Scanning Radiometer for EOS (AMSR‐E) data. This study quantitatively shows the contribution of (1) ice production/reduction within the sea ice, (2) ice production/reduction at the sea‐ice edge and (3) zonal ice transport to the seasonal change of sea‐ice area. Area of greatest ice production occurs along the coast of Ross Sea and East Antarctica from March to September. The contribution of zonal transport to the seasonal change of ice area is one order magnitude smaller than local ice production/reduction. Clear regional and seasonal differences are found in the large‐scale processes named above. Generally, ice area increases due to ice production, both at the ice edge and within the pack in the autumn and winter. The most significant ice production at the ice edge occurred in the Weddell Sea; the ice production provides 56% of total increase of ice cover in this area. In contrast, moderate ice melting occurs at the ice edge through almost all months in the Indian Ocean sector.

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Section: Summary and Discussionmentioning

confidence: 99%

Large-scale processes governing the seasonal variability of the Antarctic sea ice

Kimura

Wakatsuchi

2011

Tellus A: Dynamic Meteorology and Oceanography

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“…According to the research results of Worby A P et al [26] , James E R et al [23] and Haas C et al [27] , the EM method will make relatively big error on well-grown ice crack and ice ridge, sometimes exceed 20%. We believe that improving inverse calculation will help to reduce the errors of detection and increase the precision; this is one of our future research contents.…”

Section: Discussionmentioning

confidence: 99%

Research on Electromagnetic Inductive Measurement of Sea‐Ice Thickness in Antarctic Prydz Bay

Sun

Tian

Wang

et al. 2008

Chinese J of Geophysics

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The paper presents a shipborne electromagnetic induction detection system of sea‐ice thickness which consists of the EM31‐ICE electromagnetic instrument and laser altimeter. The system works according to the different electrical properties of sea‐ice and seawater. The electromagnetic induction technology is used to obtain distance between the system and the bottom of sea‐ice while the laser altimeter is employed to measure the roughness of ice surfaces and the distance between the system and the top of ice. A comparison of such data enables to achieve the measurement of sea‐ice thickness. Analysis of the data obtained from the Antarctic field and comparison to the value of the ice thickness from drilling allows a quantitative analysis of the height effect which exists between the system and ice surface, construction of a correction formula of the measured value with height, and systematic calibration of the shipborne data. Comparison of ice thickness data acquired by the electromagnetic system to SCAR ASPeCt data indicates that the system is capable of achieving sea‐ice thickness data with high precision, and satisfying the requirement for large‐scale survey at polar regions.

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“…With respect to sea ice, the literature suggests m between 1.55 and 2.2 (Thyssen et al, 1974;Morey et al, 1984). Haas et al (1997) and Worby et al (1999) use a cementation factor of 1.75 for their calculations. Reid et al (2006) use values of 1.75 and 2.2, stating that the horizontal conductivity of the sea ice is overestimated with a value of 1.75.…”

Section: Porosity Estimationmentioning

confidence: 99%

Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking

et al. 2016

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The porosity of sea ice is a fundamental physical parameter that governs the mechanical strength of sea ice and the mobility of gases and nutrients for biological processes and biogeochemical cycles in the sea ice layer. However, little is known about the spatial distribution of the sea ice porosity and its variability between different sea ice types; an efficient and nondestructive method to measure this property is currently missing. Sea ice porosity is linked to the bulk electrical conductivity of sea ice, a parameter routinely used to discriminate between sea ice and seawater by electromagnetic (EM) induction sensors. Here, we have evaluated the prospect of porosity retrieval of sea ice by means of bulk conductivity estimates using 1D multifrequency EM inversion schemes. We have focused on two inversion algorithms, a smoothness-constrained inversion and a Marquardt-Levenberg inversion, which we modified for the nonlinear signal bias caused by a passive bucking coil operated in such a highly conductive environment. Using synthetic modeling studies, 1D inversion algorithms and multiple frequencies, we found that we can resolve the sea ice conductivity within AE0.01 S∕m. Using standard assumptions for the conductivity-porosity relation of sea ice, we were able to estimate porosity with an uncertainty of AE1.2%, which enables efficient and nondestructive surveys of the internal state of the sea ice cover.

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On the use of electromagnetic induction sounding to determine winter and spring sea ice thickness in the Antarctic

Cited by 38 publications

References 13 publications

Large-scale processes governing the seasonal variability of the Antarctic sea ice

Large-scale processes governing the seasonal variability of the Antarctic sea ice

Research on Electromagnetic Inductive Measurement of Sea‐Ice Thickness in Antarctic Prydz Bay

Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking

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