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Zhao Jiechen, Yang Qinghua, Cheng Bin, Wang Ning, Hui Fengming, Shen Hui, Han Xiaopeng, Zhang Lin, Timo Vihma. Snow and land-fast sea ice thickness derived from thermistor chain buoy in the Prydz Bay, Antarctic[J]. Haiyang Xuebao, 2017, 39(11): 115-127. doi: 10.3969/j.issn.0253-4193.2017.11.011
Citation: Zhao Jiechen, Yang Qinghua, Cheng Bin, Wang Ning, Hui Fengming, Shen Hui, Han Xiaopeng, Zhang Lin, Timo Vihma. Snow and land-fast sea ice thickness derived from thermistor chain buoy in the Prydz Bay, Antarctic[J]. Haiyang Xuebao, 2017, 39(11): 115-127. doi: 10.3969/j.issn.0253-4193.2017.11.011

Snow and land-fast sea ice thickness derived from thermistor chain buoy in the Prydz Bay, Antarctic

doi: 10.3969/j.issn.0253-4193.2017.11.011
  • Received Date: 2016-11-26
  • Rev Recd Date: 2017-06-27
  • Snow and sea ice in the polar regions react strongly to the climate change. Sea ice thickness is also a critical parameter for navigation in the polar oceans. In this paper, we present measurements taken using a high-resolution thermistor chain (SIMBA) to monitor snow and ice thickness in the land-fast ice zone in winters 2014 and 2015 in the Prydz Bay outside Zhongshan Station, Antarctic. SIMBA measures vertical temperature profiles 4 times a day as well as two daily sensor heating temperature profiles in 60 s and 120 s. Snow and ice thickness were derived (a) manually on the basis of different linear temperature gradients in air, snow, ice, and water, and (b) applying an automatic algorithm based on temporal variation of the temperature gradients associated with analyses of heating temperature response statistics. Compared with borehole in situ measurements, the manually estimated ice thickness had a mean bias and RMSE of 2.1 cm and 6.4 cm in 2014, 4.3 cm and 6.5 cm in 2015. The mean bias and RMSE of algorithm-based ice thickness was-6.8 cm and 6.4 cm in 2014, 4.5 cm and 6.6 cm in 2015. The snow thickness was estimated only for winter 2015, and the mean bias and RMSE of manual and algorithm methods were 0.5 cm and 8.5 cm, 4.7 cm and 10.8 cm, respectively. The manual estimation, in general, yielded better results. Our results reveal that SIMBA is capable to monitor snow and ice thickness in the Prydz Bay, Antarctic.
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