• Aota, M., 1999: Long-term tendencies of sea ice concentration and air temperature in the Okhotsk Sea coast of Hokkaido. Proceedings of the Second PICES Workshop on the Okhotsk Sea and Adjacent Areas, V. B. Lobanov, Y. Nagata, and S. C. Riser, Eds., North Pacific Marine Science Organization PICES Scientific Rep. 12, 1–2.

  • Bousquet, O., and Chong M. , 1998: A multiple-Doppler synthesis and continuity adjustment technique (MUSCAT) to recover wind components from Doppler radar measurements. J. Atmos. Oceanic Technol., 15, 343359.

    • Search Google Scholar
    • Export Citation
  • Colony, R., and Thorndike A. S. , 1984: An estimate of the mean field of Arctic sea ice motion. J. Geophys. Res., 89 (C6), 10 62310 629.

    • Search Google Scholar
    • Export Citation
  • Cressman, G. W., 1959: An operational objective analysis system. Mon. Wea. Rev., 87, 367374.

  • Doviak, R. J., and Zrnić D. S. , 1993: Doppler Radar and Weather Observations. 2nd ed. Academic Press, 562 pp.

  • Fujiyoshi, Y., and Ohi M. , 2009: Doppler radar observation of sea ice, snow clouds and bird. Proc. 24th Int. Symp. on Okhotsk Sea and Sea Ice, Mombetsu, Japan, The Okhotsk Sea and Cold Ocean Research Association, 135–137.

  • Fukamachi, Y., Ohshima K. I. , Mukai Y. , Mizuta G. , and Wakatsuchi M. , 2011: Sea ice drift characteristics revealed by measurement of acoustic Doppler current profiler and ice-profiling sonar off Hokkaido in the Sea of Okhotsk. Ann. Glaciol., 52, 18.

    • Search Google Scholar
    • Export Citation
  • Hunke, E. C., and Dukowicz J. K. , 1997: An elastic–viscous–plastic model for sea ice dynamics. J. Phys. Oceanogr., 27, 18491867.

  • Inoue, J., 2004: Effects of tidal current and wind on the coastal sea ice motion in the Sea of Okhotsk (in Japanese). Sea Sky, 79, 5764.

    • Search Google Scholar
    • Export Citation
  • Ishida, K., 1974: Calculation of flow-vector of open pack-ice by 2-dimensional correlation method (in Japanese). Low Temp. Sci.,32A, 221227.

    • Search Google Scholar
    • Export Citation
  • Kimura, N., 2005: Sea ice motion derived from images by Aqua/AMSR-E. Proc. 28th Symp. on Polar Meteorology and Glaciology, Tokyo, Japan, National Institute of Polar Research, 53 pp.

  • Kimura, N., and Wakatsuchi M. , 2000: Relationship between sea ice motion and geostrophic wind in the Northern Hemisphere. Geophys. Res. Lett., 27, 37353738.

    • Search Google Scholar
    • Export Citation
  • Leppäranta, M., 2005: The Drift of Sea Ice. Springer, 266 pp.

  • Mahoney, A., Eicken H. , and Shapiro L. , 2007: How fast is landfast sea ice? A study of the attachment and detachment of nearshore ice at Barrow, Alaska. Cold Reg. Sci. Technol., 47, 233255.

    • Search Google Scholar
    • Export Citation
  • Rheem, C. K., Yamaguchi H. , and Kato H. , 1997: Distributed mass/discrete floe model for pack ice rheology computation. J. Mar. Sci. Technol., 2, 101121.

    • Search Google Scholar
    • Export Citation
  • Roux, F., Testud J. , Payen M. , and Pinty B. , 1984: West African squall-line thermodynamic structure retrieved from dual-Doppler radar observations. J. Atmos. Sci., 41, 31043121.

    • Search Google Scholar
    • Export Citation
  • Serreze, M. C., Holland M. M. , and Stroeve J. , 2007: Perspectives on the Arctic’s shrinking sea-ice cover. Science, 315, 15331536.

  • Sonu, C. J., and Aota M. , 1985: Characteristic ice floe movements as revealed by shore-based radars. Proc. 17th Offshore Technology Conf., Houston, TX, The Marine Technology Society, 353–355.

  • Tabata, T., 1972: Radar network for drift ice observations in Hokkaido. Sea Ice: Proceedings of an International Conference, T. Karlsson, Ed., National Research Council, 67–71.

  • Valenzuela, G. R., and Lang M. B. , 1970: Study of Doppler spectra of radar sea echo. J. Geophys. Res., 75 (3), 551563.

  • Wakatsuchi, M., and Ohshima K. I. , 1990: Observations of ice-ocean eddy streets in the Sea of Okhotsk off the Hokkaido coast using radar images. J. Phys. Oceanogr., 20, 585594.

    • Search Google Scholar
    • Export Citation
  • Yamada, Y., 2013: Characteristics of MUSCAT-derived wind fields. J. Meteor. Soc. Japan, in press.

  • Yamaguchi, H., 2010: Numerical prediction of sea ice change in the Sea of Okhotsk. Proc. 25th Int. Symp. on Okhotsk Sea and Sea Ice, Mombetsu, Japan, The Okhotsk Sea and Cold Ocean Research Association, 6–11.

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Sea Ice Identification and Derivation of Its Velocity Field by X-Band Doppler Radar

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  • 1 Institute of Low Temperature Science, Hokkaido University, Sapporo, Japan
  • | 2 Graduate School of Environmental Science, Hokkaido University, Sapporo, Japan
  • | 3 J2 Co. Ltd., Minato, Japan
  • | 4 Meteorological Research Institute, Japan Meteorological Agency, Ibaraki, Japan
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Abstract

In this study a 3D scanning X-band Doppler radar (XDR) was deployed near the coast of the Sea of Okhotsk, Hokkaido, Japan, in November 2005 to simultaneously observe sea ice and snow clouds. Doppler radars are commonly used to detect wind fields within precipitating clouds. However, thus far, there have been no reports of observing sea ice with Doppler radar. Making use of the radar reflectivity, Doppler velocity, and spectrum width, sea ice floes were identified under various weather conditions. Also presented is a new method that combines Doppler radar data and sea ice velocity—extracted using the cross-correlation method—to derive a high-spatial-resolution horizontal distribution of the velocity of sea ice floes. These methods will contribute to short-term forecasting of sea ice conditions and navigation through ice-covered seas and the development and verification of high-resolution dynamic sea ice models.

Current affiliation: Geospatial Information Authority of Japan, Ibaraki, Japan.

Corresponding author address: Yasushi Fujiyoshi, Institute of Low Temperature Science, Hokkaido University, N19W8, Sapporo 0600819, Japan. E-mail: fujiyo@lowtem.hokudai.ac.jp

Abstract

In this study a 3D scanning X-band Doppler radar (XDR) was deployed near the coast of the Sea of Okhotsk, Hokkaido, Japan, in November 2005 to simultaneously observe sea ice and snow clouds. Doppler radars are commonly used to detect wind fields within precipitating clouds. However, thus far, there have been no reports of observing sea ice with Doppler radar. Making use of the radar reflectivity, Doppler velocity, and spectrum width, sea ice floes were identified under various weather conditions. Also presented is a new method that combines Doppler radar data and sea ice velocity—extracted using the cross-correlation method—to derive a high-spatial-resolution horizontal distribution of the velocity of sea ice floes. These methods will contribute to short-term forecasting of sea ice conditions and navigation through ice-covered seas and the development and verification of high-resolution dynamic sea ice models.

Current affiliation: Geospatial Information Authority of Japan, Ibaraki, Japan.

Corresponding author address: Yasushi Fujiyoshi, Institute of Low Temperature Science, Hokkaido University, N19W8, Sapporo 0600819, Japan. E-mail: fujiyo@lowtem.hokudai.ac.jp
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