渤黄东海40年水位模拟与分析

朱海山; 尹汉军; 程高磊; 李少钿; 朱宇航; 彭世球

doi:10.16032/j.issn.1004-4965.2022.053

渤黄东海40年水位模拟与分析

doi: 10.16032/j.issn.1004-4965.2022.053

朱海山¹,
尹汉军¹,
程高磊^2, ,,
李少钿²,
朱宇航²,
彭世球^{2, 3, 4}

1.
中海油研究总院有限责任公司，北京 100028
2.
热带海洋环境国家重点实验室(中国科学院南海海洋研究所)，广东广州 510301
3.
南方海洋科学与工程广东省实验室(广州)，广东广州 511458
4.
北部湾大学/广西北部湾海洋灾害研究重点实验室，广西钦州 535011

基金项目:

南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项 GML2019ZD0303

广东省重点工程 2019BT2H594

深水浮式平台一体化在线监测与分析软件集成系统研制 LSZX-2020-HN-05-04

海上油气田精细化环境预报与参数区划关键技术 YXKY-ZX 07 2020

南海北部内波区划及工程参数研究 YXKY-ZX 102021

中国科学院空间科学战略性先导科技专项 XDA15020901

广西重点研发计划桂科AB18294047

广东省重点领域研发计划 2019B111101002

详细信息

通讯作者:
程高磊，男，河南省人，助理研究员，博士，主要从事河口与陆架环流、泥沙输运等方面的研究。E-mail：cgaolei26@scsio.ac.cn

中图分类号: P731.34
计量
- 文章访问数: 151
- HTML全文浏览量: 48
- PDF下载量: 16
- 被引次数: 0
出版历程
- 收稿日期: 2022-01-12
- 修回日期: 2022-06-18
- 网络出版日期: 2022-10-25
- 刊出日期: 2022-08-20

MODELING AND ANALYSIS OF WATER LEVEL FOR 40 YEARS IN THE BOHAI SEA, YELLOW SEA AND EAST CHINA SEA

1.
General Research Institute Co., Ltd., China National Offshore Oil Corporation, Beijing 100028, China
2.
State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China
3.
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
4.
Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou, Guangxi 535011, China

摘要

摘要: 基于1980—2019年数值模拟的水位和ERA5的风速数据，使用EOF分析方法，研究了渤黄东海40年的水位变化特征和动力机制，分析了气候变化和极端天气对水位变化产生的影响。EOF分析主要模态结果显示，东海东北部海域的水位变化受黑潮路径改变的影响比较明显，并存在一定的时间延迟；台湾岛东北部的水位变化受到黑潮入侵影响，与ENSO变化呈现一定相关性。研究区风速的EOF分析结果显示，年际变化受ENSO的影响显著，并影响了渤黄东海部分区域的水位变化。
- 水位变化 /
- EOF /
- 黑潮 /
- ENSO
Abstract: Based on the ERA5 wind speed data and numerical simulation of water level from 1980 to 2019, this paper uses the Empirical Orthogonal Function (EOF) analysis method to study the characteristics and dynamic mechanism of water level change over the past 40 years in the Bohai Sea, Yellow Sea, and the East China Sea, and analyzes the impact of climate change and extreme weather on water level change. The results show that the water level variation at the northeast part of the East China Sea was significantly affected by the Kuroshio path change and there was a time lag. The water level variation of sea on the northeast of Taiwan Island was affected by the Kuroshio invasion and was correlated with the El Ni?oSouthern Oscillation (ENSO). Significantly affected by ENSO, the interannual variation of wind speed influenced the water level variation at some areas in the Bohai Sea, Yellow Sea, and the East China Sea.
- water level change /
- EOF /
- Kuroshio /
- ENSO

HTML全文

图 1 模式网格区域和观测站位置

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图 2 模拟的1980年增水与观测值对比结果

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图 3 1980—2019年渤黄东海月平均水位距平场前4个EOF模态的空间分布

a. EOF1；b. EOF2；c. EOF3；d. EOF4。

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图 4 EOF第一模态时间系数(a)与黑潮路径指数(b)^[30]

a中黑色粗线为12个月低通滤波、b中黑色粗线为6个月低通滤波；a1~a6、b1~b6为较大的正值年份。

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图 5 EOF第三模态时间系数(a)与ENSO指数(b)

黑色粗线为12个月低通滤波；a1~a6、b1~b6为较大的正值年份。

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图 6 1980—2019年渤黄东海月平均风速距平场前4个EOF模态的空间分布

a. EOF1；b. EOF2；c. EOF3；d. EOF4。

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图 7 40年风速EOF分析第一模态的时间系数(a)与ENSO指数(b)

黑色粗线为12个月低通滤波后数据。

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图 8 风速的第一模态时间系数12个月低通滤波后与ENSO指数对比结果

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