不同MSS模型及其北极海冰干舷的多时空差异分析

董昭顷; 路晓庆; 石立坚; 林明森; 曾韬

doi:10.12284/hyxb2021109

不同MSS模型及其北极海冰干舷的多时空差异分析

doi: 10.12284/hyxb2021109

董昭顷^{1, 2,},
路晓庆^{2, 3, ,},
石立坚^{2, 3},
林明森^{2, 3},
曾韬^{2, 3}

1.
国家海洋环境预报中心，北京 100081
2.
国家卫星海洋应用中心，北京 100081
3.
自然资源部空间海洋遥感与应用研究重点实验室，北京 100081

基金项目: 国家重点研发计划（2018YFC1407200，2018YFC1407206）；南极重点海域对气候变化的响应和影响专项（IRASCC2020-2022-No.01-01-03）

详细信息

作者简介:
董昭顷（1997-），男，广东省汕头市人，主要从事海洋遥感研究。E-mail：13414937026@163.com

通讯作者:
路晓庆，工程师，主要从事海洋遥感研究。E-mail：qingxl@mail.nsoas.org.cn

中图分类号: P731.15；P715
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- 文章访问数: 377
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- 被引次数: 0
出版历程
- 收稿日期: 2020-12-23
- 修回日期: 2021-04-12
- 网络出版日期: 2021-06-07
- 刊出日期: 2021-07-25

Multi temporal and spatial difference analysis of various MSS models and Arctic sea ice freeboard

Dong Zhaoqing^{1, 2
,},
Lu Xiaoqing^{2, 3
, ,},
Shi Lijian^{2, 3},
Lin Mingsen^{2, 3},
Zeng Tao^{2, 3}

1.
National Marine Environmental Forecasting Center, Beijing 100081, China
2.
National Satellite Ocean Application Service, Beijing 100081, China
3.
Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

摘要

摘要: 基于2017年4月、2018年4月和2019年4月的CryoSat-2 L1B数据，比较分析了UCL13、DTU10、DTU13、DTU15和DTU18 5种不同平均海表面高度(MSS)模型及其反演的北极海冰干舷的多时空尺度差异。以UCL13为基准，对比分析不同MSS模型的差异和所反演的海冰干舷的差异，实验结果表明，不同MSS模型之间的平均绝对偏差范围为0.19～0.26 m，标准差范围为0.55～0.57 m，其中DTU18与UCL13的差异最小。以UCL13为基准，其他4种MSS模型反演的海冰干舷的平均绝对偏差为0.50～0.79 cm，标准差范围为1.17～1.74 cm。通过与冰桥计划(Operation IceBridge，OIB)机载数据相比，5种MSS模型反演的海冰干舷的相关系数范围为0.70～0.71，均方根误差范围为7.7～7.8 cm。故不同MSS模型之间的偏差对整个北极地区的海冰干舷反演的影响较小，偏差以相同的方式影响冰间水道和浮冰高度测量，因此相互抵消，但在冰间水道分布稀疏的区域，如加拿大群岛北部和拉普捷夫海区域，不同MSS模型反演的海冰干舷差异较大。
- 平均海表面高度 /
- CryoSat-2 /
- 北极 /
- 海冰干舷 /
- 差异分析
Abstract: 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

HTML全文

图 1 不同MSS模型模拟的空间分布

Fig. 1 Spatial distribution of different mean sea surface height models

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图 2 OIB于2017年4月、2018年4月和2019年4月的飞行路线

Fig. 2 Flight lines of OIB for April 2017, April 2018 and April 2019

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图 3 反演海冰厚度的技术流程

Fig. 3 Technical flowchart of sea ice thickness retrieval

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图 4 UCL13和DTU系列MSS模型的平均海平面高度沿轨差异（a，b）和沿轨水深（c，d）

a, c. 轨道号47928；b, d. 轨道号47986

Fig. 4 Track difference of mean sea surface height (a, b) between UCL13 and series of DTU MSS models as well as bathymetric chart (c, d)

a, c. Track number 47928; b, d. track number 47986

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图 5 UCL13和DTU MSS系列模型的平均海平面高度网格差异

Fig. 5 Grid differences of mean sea surface height between UCL13 and series of DTU MSS models

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图 6 UCL13和DTU系列MSS模型的网格差异直方图

Fig. 6 Histogram of grid differences between UCL13 and series of DTU MSS models

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图 7 5种MSS模型反演的北极海冰干舷空间分布

Fig. 7 Spatial distribution of Arctic sea ice freeboard retrieved by five MSS models

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图 8 UCL13和DTU系列MSS模型的北极海冰干舷沿轨差异直方图（a，b）和箱线图(c，d)

a, c. 轨道号47928；b, d. 轨道号47986

Fig. 8 Track difference of Arctic sea ice freeboard (a, b) between UCL13 and series of DTU MSS models as well as boxplot (c, d)

a, c. track number 47928; b, d. track number 47986

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图 9 UCL13和DTU系列MSS模型的北极海冰干舷网格差异

a, e, i. UCL13-DTU10；b, f, j. UCL13-DTU13；c, g, k. UCL13-DTU15；d, h, l. UCL13-DTU18；a–d. 2019年4月；e–h. 2018年4月；i–l. 2017年4月

Fig. 9 Grid differences of Arctic sea ice freeboard between UCL13 and series of DTU MSS models

a, e, i. UCL13-DTU10; b, f, j. UCL13-DTU13; c, g, k. UCL13-DTU15; d, h, l. UCL13-DTU18. a–d. April 2019; e–h. April 2018; i–l. April 2017

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图 10 5种不同MSS模型反演的海冰干舷与实测OIB数据的验证

Fig. 10 Validation of sea ice freeboard retrieved from five different MSS models and measured OIB data

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表 1 UCL13和DTU系列MSS模型的北极海冰干舷网格差异统计表

Tab. 1 Grid differences statistics of Arctic sea ice freeboard between UCL13 and series of DTU MSS models

对比网络	平均绝对偏差/标准差（单位：m）
对比网络	2017年4月	2018年4月	2019年4月
UCL13−DTU10	0.006 9/0.017 4	0.007 0/0.014 9	0.007 9/0.016 8
UCL13−DTU13	0.006 4/0.017 3	0.006 3/0.014 0	0.007 2/0.015 8
UCL13−DTU15	0.005 4/0.015 8	0.005 2/0.012 7	0.005 7/0.013 7
UCL13−DTU18	0.005 2/0.014 5	0.005 0/0.011 7	0.005 5/0.012 8

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