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Multi temporal and spatial difference analysis of various MSS models and Arctic sea ice freeboard
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Zhaoqing Dong1, 2, Xiaoqing Lu2, 3, *, Lijian Shi2, 3, Mingsen Lin2, 3, Tao Zeng2, 3
Haiyang Xuebao | 2021, 43(7) : 183 - 193
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Haiyang Xuebao | 2021, 43(7): 183-193
Polar sea ice and climate change
Multi temporal and spatial difference analysis of various MSS models and Arctic sea ice freeboard
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Zhaoqing Dong1, 2, Xiaoqing Lu2, 3, *, Lijian Shi2, 3, Mingsen Lin2, 3, Tao Zeng2, 3
Affiliations
  • 1National Marine Environmental Forecasting Center, Beijing 100081, China
  • 2National Satellite Ocean Application Service, Beijing 100081, China
  • 3Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
Published: 2021-07-25 doi: 10.12284/hyxb2021109
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Based on the CryoSat-2 L1B data for April 2017−2019, this study compares and analyzes the multi temporal and spatial scale differences of UCL13, DTU10, DTU13, DTU15 and DTU18 mean sea surface height (MSS) models and the Arctic sea ice freeboard retrieval. The differences of various mean sea surface height models and the sea ice freeboard retrieval are compared with UCL13. The experimental results show that the average absolute deviation range between different MSS models is 0.19−0.26 m as well as the standard deviation range is 0.55−0.57 m, among which the difference between DTU18 and UCL13 is the smallest. The mean absolute deviation range of sea ice freeboard retrieved by the other four MSS models is 0.50−0.79 cm with the standard deviation range is 1.17−1.74 cm. Compared to airborne Operation IceBridge (OIB) data, the correlation coefficients of sea ice freeboard retrieved by the five MSS models range from 0.70 to 0.71 with the root mean square error range is 7.7−7.8 cm. Therefore, the biases between various MSS models have little influence on sea ice freeboard retrievals in the entire Arctic region, since biases impact both the lead and ice floe height measurements in the same way, and thus cancel out. However, in the areas with sparse leads, such as the northern Canadian Islands and the Laptev Sea, the sea ice freeboard retrieved by different MSS models varies greatly.

mean sea surface height  /  CryoSat-2  /  Arctic  /  sea ice freeboard  /  differential analysis
Zhaoqing Dong, Xiaoqing Lu, Lijian Shi, Mingsen Lin, Tao Zeng. Multi temporal and spatial difference analysis of various MSS models and Arctic sea ice freeboard[J]. Haiyang Xuebao, 2021 , 43 (7) : 183 -193 . DOI: 10.12284/hyxb2021109
Year 2021 volume 43 Issue 7
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Article Info
doi: 10.12284/hyxb2021109
  • Receive Date:2020-12-23
  • Online Date:2026-02-26
  • Published:2021-07-25
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  • Received:2020-12-23
  • Revised:2021-04-12
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Affiliations
    1National Marine Environmental Forecasting Center, Beijing 100081, China
    2National Satellite Ocean Application Service, Beijing 100081, China
    3Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
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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
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