海冰形变对北极冬季CICE模式冰厚模拟结果的影响

李昊; 苏洁

doi:10.12284/hyxb2023092

海冰形变对北极冬季CICE模式冰厚模拟结果的影响

doi: 10.12284/hyxb2023092

李昊^{1, 2, 3,},
苏洁^{1, 2, 3, ,}

1.
中国海洋大学海洋与大气学院，山东青岛 266100
2.
中国海洋大学物理海洋教育部重点实验室，山东青岛 266100
3.
中国高校极地联合研究中心，北京 100875

基金项目: 国家自然科学专项基金（41941012）；崂山实验室科技创新项目（LSKJ202202300-1）

详细信息

作者简介:
李昊（1998-），男，山东省烟台市人，主要从事北极海冰动力学过程研究。E-mail：lh3660@stu.ouc.edu.cn

通讯作者:
苏洁，教授，主要从事北极海冰数值模拟和遥感反演方面的研究。E-mail：sujie@ouc.edu.cn

中图分类号: P731.15；P727
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- 被引次数: 0
出版历程
- 收稿日期: 2022-12-13
- 修回日期: 2023-03-23
- 网络出版日期: 2023-08-18
- 刊出日期: 2023-08-31

Effect of sea ice deformation on winter ice thickness in Arctic based on CICE model simulation results

Li Hao^{1, 2, 3
,},
Su Jie^{1, 2, 3
, ,}

1.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
2.
Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
3.
University Corporation for Polar Research, Beijing 100875, China

摘要

摘要: 海冰数值模式是研究海冰动力热力状态参量及之间联系的有效途径。目前对冰厚数值模拟结果的分析远远少于对海冰范围/面积和密集度的研究，对冰速与海冰形变对冰厚分布影响的研究也尚欠缺。本文利用Los Alamos sea ice model（CICE）海冰模式模拟了1980−2018年的北极海冰变化，并使用遥感、同化冰厚数据进行比对验证，分析了模拟冰速和海冰形变对冰厚的影响，计算了冰速的散度和切变偏差对冰厚偏差的贡献。结果显示，CICE对北极70°N以北区域平均冰厚和冰速的年际变化模拟基本合理，但模拟的平均冰厚和冰速多年变化趋势均小于同化数据的变化率；模拟和观测冰厚的空间分布差异与冰速和形变率的偏差有密切联系，主要表现为波弗特海的正偏差和北极中央区至弗拉姆海峡的负偏差。泛北极区域散度和切变偏差在3月之前对冰厚偏差的贡献在13%～16%之间变化，3−4月则由16%跃变至27%。散度偏差主导了11月、12月波弗特海区域的冰厚正偏差，切变偏差主导了冬季加拿大群岛以北海域和穿极流区域的冰厚负偏差。
- 北极 /
- 冰厚 /
- 冰速 /
- 形变 /
- 模拟结果
Abstract: Sea ice numerical model is an effective way to study the dynamical and thermal state parameters of sea ice and the connections between them. The current assessment of the results of numerical ice thickness simulation is much less than the sea ice extent/area and concentration, and the study of the influence of ice velocity and sea ice deformation on ice thickness distribution is still lacking. We simulated the Arctic sea ice variability from 1980 to 2018 using the Los Alamos sea ice model (CICE), and validated and comparison the CICE simulation results using remote sensing and assimilated ice thickness data. We further analyzed the effects of simulated ice velocity and sea ice deformation on ice thickness, and calculated the contributions of ice velocity divergence and shear bias to ice thickness bias. The results show that the interannual variability of the mean ice thickness and ice speed in the Arctic north of 70°N is reasonable, but the multi-year trends of the simulated mean ice thickness and ice speed are smaller than the variability of the assimilated data; the differences in the spatial distribution of the simulated and observed ice thickness are closely related to the deviations of the ice speed and deformation rate, mainly in the positive deviation in the Beaufort Sea and the negative deviation in the Arctic central zone to Fram Strait. The contribution of divergence and shear deviation to ice thickness deviation in the pan-Arctic region fluctuates between 13% and 16% before March, and jumps from 16% to 27% in March-April. The divergence bias dominates the positive bias of ice thickness in the Beaufort Sea region in November and December, while the shear bias dominates the negative ice thickness bias in the winter in the ocean north of the Canadian archipelago and in the region of the Arctic transpolar drift.
- Arctic /
- ice thickness /
- ice velocity /
- deformation /
- simulation results

HTML全文

图 1 1980–2018年北极冬季（12月、2月、4月）气候态月平均海冰密集度（a1−b3）、海冰密集度差异（c1−c3）和相对误差（d1−d3）

数据来源：a. SSM/I；b. CICE；c. CICE−SSM/I。c、d中的黑线为SSM/I海冰密集度90%等值线；图中纬线为70°N

Fig. 1 Monthly mean sea ice concentration (a1−b3), sea ice concentration difference (c1−c3) and relative error of sea ice concentration (d1−d3) of Arctic winter (December, February, April) climatic regimes from 1980 to 2018

Date source: a. SSM/I; b. CICE; c. CICE−SSM/I. The black lines in c and d are the 90% contours of SSM/I sea ice density; the latitude line in the graph is 70°N

下载: 全尺寸图片幻灯片

图 3 2010−2018年11月至翌年4月ERA5月平均2 m气温

图中纬线为70°N

Fig. 3 ERA5 monthly average 2 m temperature from November to April of the following year from 2010 to 2018

The latitude line in the graph is 70°N

下载: 全尺寸图片幻灯片

图 5 2010–2018年北极冬季（11月至翌年4月）OSISAF遥感观测冰速散度场（a1−a6）和CICE冰速散度场（b1−b6）

图中纬线为70°N

Fig. 5 OSISAF remotely observed ice velocity divergence fields (a1−a6) and CICE ice velocity divergence fields (b1−b6) for the Arctic winter (from November to April of the following year) from 2010 to 2018

The latitude line in the graph is 70°N

下载: 全尺寸图片幻灯片

图 6 2010–2018年北极冬季（11月至翌年4月）OSISAF遥感观测冰速切变场（a1−a6）和CICE冰速切变场（b1−b6）

图中纬线为70°N

Fig. 6 OSISAF remotely observed ice velocity shear fields (a1−a6) and CICE ice velocity shear fields (b1−b6) for the Arctic winter (from November to April of the following year) from 2010 to 2018

The latitude line in the graph is 70°N

下载: 全尺寸图片幻灯片

图 7 2010−2018年北极冬季（11月至翌年4月）平均冰速散度偏差和切变偏差对冰厚偏差（a1）、散度偏差对冰厚偏差（a2）、切变偏差对冰厚偏差（a3）的线性回归决定系数R²空间分布、11月至翌年4月泛北极区域的 R²时间序列（b）、a2中红线划定的波弗特海区域 R²时间序列（c）和a3中黑线划定的加拿大群岛以北海域 R²时间序列（d）

仅显示和统计通过99%显著性检验的数据

Fig. 7 Spatial distribution of the linear regression coefficients of determination (R²) of the mean ice velocity divergence bias and shear bias on ice thickness bias (a1), divergence bias on ice thickness bias (a2), shear bias on ice thickness bias (a3), R² time series for the pan-Arctic region from November to April (b); R² time series for the Beaufort Sea region delineated by the red line in a2 (c) and R² time series of the sea north of the Canadian archipelago delineated by the black line in a3 (d) for the Arctic winter (from November to April of the following year) from 2010 to 2018

Only data that pass the 99% significance test are shown and counted

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表 1 CICE模式主要参数化方案与参数设置

Tab. 1 Main parameterization schemes and parameter settings of CICE model

主要方案	方案设置	主要参数	参数设置
网格	gx1（320 × 384）	海冰厚度类别（ncat）	5
流变学方案	弹性–黏性–塑性流变学（EVP）	海冰垂直分层（nilyr）	7
海冰强度方案	Rothrock强度参数化	子周期数(ndte)	120
反照率参数化	Delta-Eddington辐射计算方案	成脊参数(μ)	3
热力学参数化	糊状层热力学方案	大气边界层迭代次数（natmiter）	5
融池参数化	地形学方案（Topographic scheme）	近红外海冰反照率（albicei）	0.36
海气拖曳参数化	组合拖曳方案	可见光海冰反照率（albicev）	0.78
注：gx1代表分辨率约为1°。

下载: 导出CSV

表 2 2010−2018年冬季（11月至翌年4月）70°N以北模拟海冰厚度相对CS2SMOS观测数据的月各项误差统计结果

Tab. 2 Monthly errors statistics of simulated sea ice thickness north of 70°N relative to CS2SMOS observations for winter (from November to April of the following year), 2010−2018

误差类型	11月	12月	1月	2月	3月	4月	总计
ME/m	0.24	0.19	0.17	0.13	0.10	0.15	0.16
MAE/m	0.48	0.46	0.47	0.47	0.47	0.48	0.47
RMSE/m	0.69	0.65	0.65	0.64	0.64	0.64	0.65
RE/%	49.98	38.00	33.93	30.64	30.52	40.03	37.07
注：ME：平均误差；MAE：平均绝对误差；RMSE：均方根误差；RE：相对误差。

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表 3 2010−2018年70°N以北模拟海冰厚度相对CS2SMOS观测的冬季（11月至翌年4月）各项误差统计结果

Tab. 3 Average winter (from November to April of the following year) errors statistics of simulated sea ice thickness north of 70°N relative to CS2SMOS observations, 2010−2018

误差类型	2010−2011年	2011−2012年	2012−2013年	2013−2014年	2014−2015年	2015−2016年	2016−2017年	2017−2018年
ME/m	0.19	0.32	0.27	0.08	0.07	0.21	0.02	0.06
MAE/m	0.53	0.56	0.50	0.44	0.47	0.59	0.45	0.45
RMSE/m	0.73	0.80	0.71	0.57	0.66	0.79	0.58	0.62
RE/%	39.72	45.73	41.74	34.53	30.24	57.83	30.77	39.93
注：ME：平均误差；MAE：平均绝对误差；RMSE：均方根误差；RE：相对误差；2010−2011年代表2010年11月至2011年4月，以此类推。

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表 4 2010−2018年冬季（11月至翌年4月）70°N以北模拟冰速相对OSISAF冰速的月各项误差统计结果

Tab. 4 Monthly errors statistics of simulated ice velocity north of 70°N relative to OSISAF ice velocity for each month of winter (from November to April of the following year) from 2010 to 2018

误差类型	11月	12月	1月	2月	3月	4月	总计
ME/（cm·s⁻¹）	−1.55	−1.26	−0.73	−0.45	−0.68	−0.52	−0.84
MAE/（cm·s⁻¹）	2.96	2.99	3.23	2.93	2.95	2.58	2.94
RMSE/（cm·s⁻¹）	4.18	4.17	4.43	4.24	4.20	3.50	4.13
RE/%	67.40	68.80	105.02	105.19	121.02	121.51	99.55
注：ME：平均误差；MAE：平均绝对误差；RMSE：均方根误差；RE：相对误差。

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表 5 2010−2018年逐年70°N以北模拟冰速相对OSISAF观测冰速的冬季（11月至翌年4月）各项误差统计结果

Tab. 5 Winter (from November to April of the following year) errors statistics of simulated ice velocity north of 70°N relative to OSISAF observed ice velocity year by year from 2010 to 2018

误差类型	2010−2011年	2011−2012年	2012−2013年	2013−2014年	2014−2015年	2015−2016年	2016−2017年	2017−2018年
ME/（cm·s⁻¹）	−0.43	−1.04	−2.04	−0.58	−0.37	−0.91	−0.77	−0.72
MAE/（cm·s⁻¹）	2.41	2.98	3.34	2.37	3.29	3.21	2.90	3.17
RMSE/（cm·s⁻¹）	3.33	3.84	4.64	3.36	4.42	4.86	4.19	4.43
RE/%	86.63	107.90	94.17	82.87	133.20	123.65	77.61	91.91
注：ME：平均误差，MAE：平均绝对误差，RMSE：均方根误差，RE：相对误差；2010−2011年代表2010年11月至201年4月，以此类推。

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