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SCIENCE CHINA Earth Sciences, Volume 60, Issue 5: 858-865(2017) https://doi.org/10.1007/s11430-017-9023-8

Spatial and temporal variability of sea ice deformation rates in the Arctic Ocean observed by RADARSAT-1

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  • ReceivedFeb 8, 2017
  • AcceptedFeb 23, 2017
  • PublishedMar 22, 2017

Abstract

Sea ice deformation parameters are important for elucidation of the properties and characteristics of ice-ocean models. Observations of sea ice motion over 11.5 year period (November 1996–April 2008) are used to calculate ice motion divergence and shear rates, and thus, to construct total deformation rate (TDR) estimates with respect to spatial and temporal variability in the Arctic Ocean. Strong sea ice deformation signal (SDS) rates are identified when TDR>0.01 day‒1, and very strong SDS events, when TDR>0.05 day‒1. These calculations are based on measurements made by the RADARSAT-1 Geophysical Processer System (RGPS). Statistical analysis of the SDS data suggest the following features: (1) Mean SDS and the SDS probability distributions are larger in “low latitudes” of the Arctic Ocean (less than 80°N) than in “high latitudes” (above 80°N), in both summer and winter; (2) very high SDS probabilities distributions and mean SDS values occur in coastal areas, e.g. the East Siberian Sea, Chukchi Sea and Beaufort Sea; (3) areas with relatively low TDR values, in the range from 0.01 day‒1 to 0.05 day‒1, cover much of the Arctic Ocean, in summer and winter; (4) of the entire TDR dataset, 45.89% belong to SDS, with summer the SDS percentage, 59.06%, and the winter SDS percentage, 40.50%. Statistically, the summer mean SDS, SDS percentage and very strong SDS are larger than corresponding values in the winter for each year, and show slight increasing tendencies during the years from 1997 to 2007. These results suggest important constraints for accurate simulations of very strong SDS in ice-ocean models.


Funded by

Office of Naval Research(Code 322)

Canadian Program on Energy Research and Development(OERD)

Global Change Research Program of China(2015CB953901)

The National Key Research and Development Program of China(2016YFC1401007)


Acknowledgment

This work was supported by the Global Change Research Program of China (Grant No. 2015CB953901), the National Key Research and Development Program of China (Grant No. 2016YFC1401007), the Canadian Program on Energy Research and Development (OERD), the Office of Naval Research (Code 322, “Arctic and Global Prediction”, Grant Number and Principal Investigator: William Perrie, Grant No. N00014-15-1-2611).


References

[1] Bai X, Wang J, Liu Q, Wang D, Liu Y. Severe ice conditions in the Bohai Sea, China, and mild ice conditions in the Great Lakes during the 2009/10 Winter: Links to El Niño and a strong negative arctic oscillation. J Appl Meteorol Climatol, 2011, 50: 1922-1935 CrossRef ADS Google Scholar

[2] Bian L G, Ding M H, Lin X, Lu C G, Gao Z Q. Structure of summer atmospheric boundary layer in the center of Arctic Ocean and its relation with sea ice extent change. Sci China Earth Sci, 2016, 59: 1057-1065 CrossRef Google Scholar

[3] Bouchat A, Tremblay B. Energy dissipation in viscous-plastic sea-ice models. J Geophys Res-Oceans, 2014, 119: 976-994 CrossRef ADS Google Scholar

[4] Cavalieri D J, Parkinson C L. Antarctic sea ice variability and trends, 1979–2006. J Geophys Res, 2008, 113: C07004 CrossRef ADS Google Scholar

[5] Emery W J, Thomas A C, Collins M J, Crawford W R, Mackas D L. An objective method for computing advective surface velocities from sequential infrared satellite images. J Geophys Res, 1986, 91: 12865-12878 CrossRef ADS Google Scholar

[6] Girard L, Weiss J, Molines J M, Barnier B, Bouillon S. Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Arctic sea ice drift and deformation. J Geophys Res, 2009, 114: C08015 CrossRef ADS Google Scholar

[7] Herman A, Glowacki O. Variability of sea ice deformation rates in the Arctic and their relationship with basin-scale wind forcing. Cryosphere, 2012, 6: 1553-1559 CrossRef ADS Google Scholar

[8] Kwok R. Recent changes in Arctic Ocean sea ice motion associated with the North Atlantic Oscillation. Geophys Res Lett, 2001, 27: 775-778 CrossRef ADS Google Scholar

[9] Kwok R. Contrasts in sea ice deformation and production in the Arctic seasonal and perennial ice zones. J Geophys Res, 2006, 111: C11S22 CrossRef ADS Google Scholar

[10] Kwok R, Cunningham G F. 2014. RADARSAT Geophysical Processor System. Data user’s handbook (version 2). JPL D-19149, NASA, http://rkwok.jpl.nasa.gov/radarsat/docTools.html. Google Scholar

[11] Kwok R, Cunningham G F, Nguyen D. 2000. Alaska SAR Facility RADARSAT Geographysical Processor System. Product specification (version 2). JPL D-13448, NASA, http://rkwok.jpl.nasa.gov/radarsat/docTools.html. Google Scholar

[12] Kwok R, Hunke E C, Maslowski W, Menemenlis D, Zhang J. Variability of sea ice simulations assessed with RGPS kinematics. J Geophys Res, 2008, 113: C11012 CrossRef ADS Google Scholar

[13] Marsan D, Stern H, Lindsay R, Weiss J. Scale dependence localization of deformation of Arctic Sea and the ice. Phys Rev Lett, 2004, 93: 178501 CrossRef PubMed ADS Google Scholar

[14] Ninnis R M, Emery W J, Collins M J. Automated extraction of pack ice motion from advanced very high resolution radiometer imagery. J Geophys Res, 1986, 91: 10725-10734 CrossRef ADS Google Scholar

[15] Proshutinsky A, Steele M, Timmermans M L. Forum for Arctic Modeling and Observational Synthesis (FAMOS): Past, current, and future activities. J Geophys Res-Oceans, 2016, 121: 3803-3819 CrossRef ADS Google Scholar

[16] Wang D, Wang C, Yang X, Lu J. Winter northern hemisphere surface air temperature variability associated with the Arctic oscillation and North Atlantic oscillation. Geophys Res Lett, 2005, 32: L16706 CrossRef ADS Google Scholar

[17] Wang J, Bai X, Wang D, Wang D, Hu H, Yang X. Impacts of the Siberian High and Arctic Oscillation on the East Asia winter monsoon: Driving downwelling in the western Bering Sea. Aquatic Ecosystem Health Manage, 2012, 15: 20-30 CrossRef Google Scholar

[18] Weiss J. Intermittency of principal stress directions within Arctic sea ice. Phys Rev E, 2008, 77: 056106 CrossRef PubMed ADS Google Scholar

[19] Sha L B, Jiang H, Liu Y G, Zhao M X, Li D L, Chen Z L, Zhao Y. Palaeo-sea-ice changes on the North Icelandic shelf during the last millennium: Evidence from diatom records. Sci China Earth Sci, 2015, 58: 962-970 CrossRef Google Scholar

[20] Stem H, Lindsay R W. Spatial scaling of Arctic sea ice deformation. J Geophys Res, 2009, 114: C10017 CrossRef ADS Google Scholar

[21] Xie T, Perrie W, He Y J, Li H Y, Fang H, Zhao S Z, Yu W J. Ocean surface wave measurements from fully polarimetric SAR imagery. Sci China Earth Sci, 2015, 58: 1849-1861 CrossRef Google Scholar

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