海洋混合层深度时空分布及其与风、浪参数的相关性分析

张扬; 李宏; 丁扬; 余为; 许建平

doi:10.3969/j.issn.0253-4193.2019.05.002

海洋混合层深度时空分布及其与风、浪参数的相关性分析

doi: 10.3969/j.issn.0253-4193.2019.05.002

张扬¹,
李宏^2,,
丁扬³,
余为⁴,
许建平⁵

1.
自然资源部第二海洋研究所卫星海洋环境动力学国家重点实验室, 浙江杭州 310012;上海海洋大学海洋科学学院, 上海 201306
2.
自然资源部第二海洋研究所卫星海洋环境动力学国家重点实验室, 浙江杭州 310012;清华大学地球系统科学系地球系统数值模拟教育部重点实验室, 北京 100084
3.
中国海洋大学物理海洋教育部重点实验室, 山东青岛 266100
4.
上海海洋大学海洋科学学院, 上海 201306
5.
自然资源部第二海洋研究所卫星海洋环境动力学国家重点实验室, 浙江杭州 310012

基金项目: 国家自然科学基金青年项目（41606208）；科技基础性工作专项（2012FY112300）。

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出版历程
- 收稿日期: 2018-05-15

The variation of the ocean mixing layer depth and its correlation analysis with winds and waves

1.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
2.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
3.
Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
4.
College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
5.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

摘要

摘要: 本文应用一个经验证的全球尺度FVCOM海浪模型，模拟了2012年全球海洋海浪场的分布和演变，分析了海表面风场、海浪场与混合层深度的全球尺度分布及相关性。综合观测资料和模型结果显示，海表面10 m风速、有效波高与混合层深度的全球尺度分布随季节发生显著的变化，并且其分布态势存在明显的相似性。从相关系数的全球分布来看，海表面10 m风速在印度洋低纬度海区（纬度0°~20°）与混合层深度间有较强的相关性，相关系数大于0.5；有效波高与混合层深度间相关系数大于0.5的网格分布在北半球高纬度海区和印度洋北部。谱峰周期与混合层深度间在部分海区存在负相关关系，这些网格主要分布在低纬度海区（纬度0°~30°）。统计结果显示，有效波高、海表面10 m风速和谱峰周期与混合层深度间的平均相关系数分别为0.31、0.25和0.12。综合以上结果表明，有效波高较谱峰周期能更有效地表征波浪能对海洋上层混合的影响；相比于海表面风速，有效波高与混合层深度间存在更强的相关关系，其变化对海洋上层混合有更显著的影响。
- FVCOM /
- 海浪 /
- 海表面风场 /
- 混合层深度 /
- 相关分析
Abstract: This paper simulates the global sea surface wave evolution in 2012, based on a well validated global scale FVCOM wave model, and analyses the global distribution of wind speed, wave parameters and mixing layer depth. Based on the simulation results and observed data, the global distribution patterns of 10 m wind speed, significant wave height and mixing layer depth vary remarkably with season, and they share the most similar trend. By the way of statistic, it is showed the average correlation coefficients between significant wave height, 10 m wind speed, peak period and mixing layer depth are 0.31, 0.25 and 0.12, respectively. For the global distribution of the correlation coefficients, 10 m wind speed and mixing layer depth have high correlation of about 0.5 at low latitudes (0°-20°) in the Indian Ocean, while for the significant wave height it is located at the high latitudes in the Northern Hemisphere and the North Indian Ocean. The correlation coefficients of peak period and mixing layer depth are negative in some areas distributed at low latitudes (0°-30°) in the Indian Ocean. Above all, compared with peak period, significant wave height can better represent the influence of wave energy on surface layer mixing. And significant wave heights and mixing layer depth have stronger correlation than the sea surface wind speed.
- FVCOM /
- wave /
- sea surface wind /
- mixing layer depth /
- correlation analysis

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参考文献(27)

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