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 2014and 2015in the Prydz Bay outside Zhongshan Station,Antarctic.SIMBA measures vertical temperature profiles 4times a day as well as two daily sensor heating temperature profiles in 60s and 120s.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 2.1cm and 6.4cm in 2014,4.3cm and 6.5cm in 2015.The mean bias and RMSE of algorithm-based ice thickness was-6.8cm and 6.4cm in 2014,4.5cm and 6.6cm in 2015.The snow thickness was estimated only for winter 2015,and the mean bias and RMSE of manual and algorithm methods were 0.5cm and 8.5cm,4.7cm and 10.8cm,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.