| 北太平洋副热带逆流区中尺度涡旋的统计特征及其分布规律 |
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| 引用本文： | 汤博,侯一筠,殷玉齐,胡珀.北太平洋副热带逆流区中尺度涡旋的统计特征及其分布规律[J].海洋与湖沼,2019,50(5):937-947. |
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| 作者姓名： | 汤博 侯一筠 殷玉齐 胡珀 |
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| 作者单位： | 中国科学院海洋研究所环流与波动重点实验室 青岛266071;中国科学院海洋环流与波动重点实验室 青岛266071;中国科学院大学 北京 100049;中国科学院海洋大科学研究中心 青岛266071;中国科学院海洋研究所环流与波动重点实验室 青岛266071;中国科学院海洋环流与波动重点实验室 青岛266071;中国科学院大学 北京 100049;中国科学院海洋大科学研究中心 青岛266071;青岛海洋科学与技术试点国家实验室海洋动力过程与气候功能实验室 青岛 266237;中国科学院海洋研究所环流与波动重点实验室 青岛266071;中国科学院海洋环流与波动重点实验室 青岛266071;中国科学院海洋大科学研究中心 青岛266071;青岛海洋科学与技术试点国家实验室海洋动力过程与气候功能实验室 青岛 266237 |
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| 基金项目： | 国家自然科学基金，41630967号；“全球变化与海气相互作用”专项项目，GASI-IPOVAI-01-06号；国家自然科学基金-山东省联合资助海洋科学研究中心项目，U1606402号；国家自然科学基金创新研究群体项目，41421005号。 |
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| 摘 要： | 本文基于卫星高度计得到的全球非线性中尺度涡旋数据集,分析了北太平洋副热带逆流(Subtropical Countercurrent.STCC)区域中尺度涡旋的统计特征,包括其基本特征、空间分布、传播特征、季节和年际变化;给出了该区域涡旋振幅、半径、旋转速度和罗斯贝数的分布直方图,并利用瑞利分布和对数正态分布对其进行了拟合。结果显示,涡旋振幅、半径、旋转速度和罗斯贝数的直方图很好地服从于对数正态分布。此外,通过与北太平洋中涡旋的对比研究,我们发现在STCC区中对数正态分布的拟合效果更好。本研究提高了对STCC区域中尺度涡旋统计特征的认识,明确了其与大洋中涡旋的区别;通过对数正态分布对涡旋特征的拟合,清晰地体现出了其分布规律,这在很大程度上降低了对观测数据的依赖,从而帮助我们更加有效地判断和预测涡旋特征的变化,同时为数值模式中涡旋的参数化提供了依据。
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| 关 键 词： | 中尺度涡旋 副热带逆流(Subtropical Countercurrent STCC) 统计特征 对数正态分布 |
| 收稿时间： | 2019/3/10 0:00:00 |
| 修稿时间： | 2019/4/14 0:00:00 |
STATISTICAL CHARACTERISTICS OF MESOSCALE EDDIES AND THE DISTRIBUTION IN THE NORTH PACIFIC SUBTROPICAL COUNTERCURRENT |
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| TANG Bo,HOU Yi-Jun,YIN Yu-Qi and HU Po.STATISTICAL CHARACTERISTICS OF MESOSCALE EDDIES AND THE DISTRIBUTION IN THE NORTH PACIFIC SUBTROPICAL COUNTERCURRENT[J].Oceanologia Et Limnologia Sinica,2019,50(5):937-947. |
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| Authors: | TANG Bo HOU Yi-Jun YIN Yu-Qi and HU Po |
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| Institution: | Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Key Laboratory of Ocean Circulation and Wave, Chinese Academy of Sciences, Qingdao 266071, China;University of Chinese Academy of Sciences, Beijing 100049, China;Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China,Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Key Laboratory of Ocean Circulation and Wave, Chinese Academy of Sciences, Qingdao 266071, China;University of Chinese Academy of Sciences, Beijing 100049, China;Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;Laboratory for Ocean and Climate Dynamics, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China,Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Key Laboratory of Ocean Circulation and Wave, Chinese Academy of Sciences, Qingdao 266071, China;Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;Laboratory for Ocean and Climate Dynamics, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China and Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Key Laboratory of Ocean Circulation and Wave, Chinese Academy of Sciences, Qingdao 266071, China;Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;Laboratory for Ocean and Climate Dynamics, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China |
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| Abstract: | Based on the satellite altimeter, the global observations of nonlinear mesoscale eddy datasets are analyzed and the statistical characteristics of the mesoscale eddies in the North Pacific Subtropical Countercurrent (STCC), including its basic characteristics, spatial distribution, transmission characteristics, seasonal and interannual changes. The histograms of amplitude, radius, rotation speed, and Rossby number of mesoscale the eddies, for which the given and lognormal distribution were used to fit them. The results show that the histogram of these features was well approximated in the lognormal distribution. In addition, by comparing eddies in the North Pacific, we find that the lognormal distribution in the STCC has a better fitting effect. This study improves the understanding of eddies in the STCC, and clarifies differences from an oceanic eddy. The eddies distribution can be clearly reflected by the fitting with lognormal distribution, which can largely reduce the dependence on the observation data to help us in making more effective judgement and prediction on the changes of eddy characteristics, and provide a basis for the parameterized numerical model of eddies. |
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| Keywords: | mesoscale eddies subtropical countercurrent statistical characteristics lognormal distribution |
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