收藏切换
Observation and analysis of landfast ice arounding Zhongshan Station, Antarctic in 2016
收藏切换
PDF
Guanghua Hao1, Qinghua Yang2, 3, *, Jiechen Zhao1, Xiao Deng4, Yong Yang5, Peifa Duan6, Lin Zhang1, Chunhua Li1, Liqin Cui7
Haiyang Xuebao | 2019, 41(9) : 26 - 39
Less
收藏切换
Haiyang Xuebao | 2019, 41(9): 26-39
Special Column of Polar Research
Observation and analysis of landfast ice arounding Zhongshan Station, Antarctic in 2016
Full
Guanghua Hao1, Qinghua Yang2, 3, *, Jiechen Zhao1, Xiao Deng4, Yong Yang5, Peifa Duan6, Lin Zhang1, Chunhua Li1, Liqin Cui7
Affiliations
  • 1 Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, National Marine Environmental Forecasting Center, Beijing 100081, China
  • 2 Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
  • 3 Southern Laboratory of Ocean Science and Engineering (Guangdong, Zhuhai), Zhuhai 519082, China
  • 4 Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
  • 5 Xiuning Meteorological Service, Huangshan 245400, China
  • 6 Xuzhou Meteorological Service, Xuzhou 221002, China
  • 7 College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China
Published: 2019-09-25 doi: 10.3969/j.issn.0253-4193.2019.09.003
Outline
收藏切换

Sea ice is an important part of the global climate system. Landfast ice is commonly found in the Antarctic coastal area, which reached the thickest in the middle and late November around Zhongshan Station. Sea ice thickness is one of the important parameters of the sea ice. We presented measurements by taken 1 SIMBA (Snow and Ice Mass Balance Array) buoy and 3 TY buoys to monitor ice thickness based on the bias of different linear temperature gradient in air, snow, ice and sea water in three different landfast ice stations (S1, S2 and S3) in the Prydz Bay outside Zhongshan Station in 2016. The SIMBA measures vertical temperature profiles 4 times a day and TY measures vertical temperature per hour. Both SIMBA and TY buoys were set up in S3 station. Compared with borehole in situ measurements, the ice thickness derived by TY buoys had a mean bias and RMSE of 3.3 cm and 14.7 cm in S1 Station, 6.6 cm and 6.9 cm in S2 Station and 4.0 cm and 4.8 cm in S3 Station. And the mean bias and RMSE for the SIMBA buoys in S3 Station compared with borehole in situ measurements were 8.2 cm and 9.7 cm. The sea ice thickness derived by TY buoys were more agreement with the borehole in situ measurements compared with the sea ice thickness derives from SIMBA buoys in S3 Station. The result of Stefan’s law of ice growth model shows the sea ice growth process and the ice growth rate varied between 0.1 cm/d to 0.8 cm/d, which is faster than the result of TY buoys and is affected by the snow thickness. While compare with limited borehole in situ sea ice thickness measurements and the great uncertain in the sea ice thickness derived by remote sense data, the error for both the TY and SIMBA buoys are reasonable, which will benefit to the future sea ice thickness monitor near Zhongshan Station.

sea ice thermistor chain buoys  /  landfast ice  /  thickness  /  temperature  /  Antarctic  /  Prydz Bay
Guanghua Hao, Qinghua Yang, Jiechen Zhao, Xiao Deng, Yong Yang, Peifa Duan, Lin Zhang, Chunhua Li, Liqin Cui. Observation and analysis of landfast ice arounding Zhongshan Station, Antarctic in 2016[J]. Haiyang Xuebao, 2019 , 41 (9) : 26 -39 . DOI: 10.3969/j.issn.0253-4193.2019.09.003
Year 2019 volume 41 Issue 9
PDF
94
37
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.0253-4193.2019.09.003
  • Receive Date:2018-07-26
  • Online Date:2026-04-03
  • Published:2019-09-25
Article Data
Affiliations
History
  • Received:2018-07-26
  • Revised:2019-01-07
Funding
Affiliations
    1 Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, National Marine Environmental Forecasting Center, Beijing 100081, China
    2 Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
    3 Southern Laboratory of Ocean Science and Engineering (Guangdong, Zhuhai), Zhuhai 519082, China
    4 Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
    5 Xiuning Meteorological Service, Huangshan 245400, China
    6 Xuzhou Meteorological Service, Xuzhou 221002, China
    7 College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.3969/j.issn.0253-4193.2019.09.003
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT