南海温盐流数值产品构建及评估

谢波涛; 尹汉军; 朱宇航; 彭世球; 李毅能; 程高磊

doi:10.16032/j.issn.1004-4965.2022.048

南海温盐流数值产品构建及评估

doi: 10.16032/j.issn.1004-4965.2022.048

谢波涛¹,
尹汉军¹,
朱宇航²,
彭世球^{2, 3, 4, ,},
李毅能²,
程高磊²

1.
中海油研究总院有限责任公司，北京 100027
2.
中国科学院南海海洋研究所/热带海洋环境国家重点实验室，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 511485
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:

广东省重点工程 2019BT2H594

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

广西重点研发计划桂科AB18294047

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 10 2021

中国科学院空间科学战略性先导科技专项 XDA15020901

广东省重点领域研发计划项目 2019B111101002

广西北部湾海洋灾害研究重点实验室(北部湾大学)开放课题 2021KF01

详细信息

通讯作者:
彭世球，男，广西壮族自治区人，研究员，博士，主要从事海洋数值模拟与资料同化。E-mail：speng@scsio.ac.cn

中图分类号: P456.7
计量
- 文章访问数: 126
- HTML全文浏览量: 71
- PDF下载量: 14
- 被引次数: 0
出版历程
- 收稿日期: 2021-12-29
- 修回日期: 2022-06-08
- 网络出版日期: 2022-10-25
- 刊出日期: 2022-08-20

THE GENERATION AND ASSESSMENT OF TEMPERATURE-SALINITY-CURRENT NUMERICAL DATASET IN THE SOUTH CHINA SEA

1.
China National Offshore Oil Corporation General Research Institute, Beijing 100027, 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 511458, China
4.
Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou, Guangxi 535011, China

摘要

摘要: 基于区域海洋模式ROMS构造了一套覆盖中国南海的40年（1980—2019年）温盐流数值产品OCEAN_SCS。OCEAN_SCS的变量包含了温度、盐度、流速、流向以及海表高度。OCEAN_SCS的水平空间分辨率为0.1°×0.1°，垂向分层40层（0~5 000 m），时间分辨率为1小时，包含潮汐信息。利用独立的观测资料对OCEAN_SCS进行了初步评估，评估对象包括温度、盐度、海表高度、海流、潮位和增水。在不包含资料同化的前提下，OCEAN_SCS的模拟精度达到了较高的水准。OCENA_SCS的构建将为南海海洋环境的研究提供数据支撑，并服务于南海海洋环境保障。
- 南海 /
- 海洋数值产品 /
- ROMS
Abstract: A 40-year (1980—2019) temperature-salinity-current numerical dataset of the South China Sea (SCS) called OCEAN_SCS has been generated based on Regional Ocean Model System (ROMS) in this study. The variables of OCEAN_SCS includes the temperature, salinity, current speed, current direction and sea surface height (SSH). The horizontal resolution, vertical levels and temporal resolution of the OCEAN_SCS is 0.1° × 0.1°, 40 and 1hour, respectively, and tidal information is included in the OCEAN_SCS. The independent observations are used for the validation of OCEAN_SCS including the accuracy of temperature, salinity, SSH, current, tide level and surge. The accuracy of OCEAN_SCS reaches a high level without data assimilation in the generation. The OCEAN_SCS will provide dataset support for the research of marine environment in the SCS, and serve ocean environment support in the SCS.
- South China Sea /
- Oceanic numerical dataset /
- ROMS

HTML全文

图 1 模式区域范围及模式地形

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图 2 模式模拟的南海区域四个季节的气候态海表流场

a. 春季；b. 夏季；c.秋季；d. 冬季。

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图 3 模式模拟（a、c、e、g）和卫星观测（b、d、f、h）气候态季节平均海表高度异常

a、b. 春季；c、d. 夏季；e、f. 秋季；g、h. 冬季。

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图 4 数据产品海表高度与卫星观测海表高度相关系数分布（a）、卫星观测（b）和数据产品（c）的海表高度标准偏差分布

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图 5 闸坡、北海、东方和汕尾潮位站分布以及1991年11号强台风“弗雷特”和1995年9号强台风“肯特”路径图

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图 6 1991年11号强台风“弗雷特”经过南海北部广东沿岸期间潮位站闸坡（a）、北海（b）、东方（c）和汕尾（d）数据产品与观测天文潮位和风暴潮增水时间序列

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图 7 1995年9号强台风肯特经过南海北部广东沿岸期间潮位站闸坡（a）、北海（b）、东方（c）和汕尾（d）数据产品与观测天文潮位和风暴潮增水时间序列

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图 8 数据产品OCEAN_SCS和美国全球再分析数据集HYCOM与中国科学院南海海洋研究所自主开放航次观测温度（a）和盐度（b）均方根误差剖面

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图 9 数据产品与卫星观测地转流对比的流速平均误差(a)、流向平均误差(b)和流速相对误差(c)分布以及卫星观测地转流速平均态分布(d)

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表 1 数据产品模拟的1988—1997年潮位站闸坡、北海、东方和汕尾总水位平均误差和增水平均误差。

站点	总水位平均误差/m	增水平均误差/m
闸坡站	0.24	0.11
北海站	0.31	0.15
东方站	0.23	0.11
汕尾站	0.16	0.11

下载: 导出CSV

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