首页> 外文期刊>海洋学报(英文版) >Statistical analysis of mesoscale eddy propagation velocity in the South China Sea deep basin
【24h】

Statistical analysis of mesoscale eddy propagation velocity in the South China Sea deep basin

机译:南海深盆地中尺度涡流传播速度的统计分析

获取原文
获取原文并翻译 | 示例
       

摘要

Using mesoscale eddy trajectory product derived from satellite altimetry data from 1993 to 2017,this study analyzes the statistical characteristics of spatiotemporal distribution of mesoscale eddy propagation velocities(C)in the South China Sea(SCS)deep basin with depths>1000 m.Climatologically,the zonal propagation velocities(cx)are westwards in the whole basin,and the meridional velocities(cy)are southwards in the northwestern basin,and northwards in the southeastern basin.The variation of cy with longitude is consistent with that of the background meridional currents with correlation coefficient R2 of 0.96,while the variation of cx is related both to the background zonal currents andβeffect.The propagation velocities characterize significant seasonality with the minimum magnitude occurring in summer and the maximum in winter for cx and C.Interannually,larger values of cx and cy mostly occurred in La Ni?a years in the negative phase of the Pacific Decadal Oscillation(PDO).Mesoscale eddies move fast at the beginning and end of their life span,i.e.,at their growth and dissipation periods,and slowly during their stable"midlife"period.This trend is negatively correlated with the rotating tangential velocity with R2 of–0.93.Eddies with extreme propagation velocities are defined,which are slower(faster)than 1.5 cm/s(15.4 cm/s)and take 1.5%(1.9%)of the total eddies.The extremely slow-moving(fastmoving)eddies tend to appear in the middle(on the edge)of the basin,and mostly occur in summer(winter).The mechanism analysis reveals that the spatiotemporal distributions of the propagation velocities of mesoscale eddies in the SCS are modulated by the basin-scale background circulation.

著录项

  • 来源
    《海洋学报(英文版)》 |2020年第11期|91-102|共12页
  • 作者单位

    Laboratory of Coastal Ocean Variation and Disaster Prediction College of Ocean and Meteorology Guangdong Ocean University Zhanjiang 524088 China;

    Laboratory of Coastal Ocean Variation and Disaster Prediction College of Ocean and Meteorology Guangdong Ocean University Zhanjiang 524088 China;

    Marine Resources Big Data Center of South China Sea Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) Zhanjiang 524025 China;

    Department of Atmospheric and Oceanic Science University of Maryland College Park Maryland 20742 USA;

    Laboratory of Coastal Ocean Variation and Disaster Prediction College of Ocean and Meteorology Guangdong Ocean University Zhanjiang 524088 China;

    Marine Resources Big Data Center of South China Sea Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) Zhanjiang 524025 China;

    Laboratory of Coastal Ocean Variation and Disaster Prediction College of Ocean and Meteorology Guangdong Ocean University Zhanjiang 524088 China;

    Marine Resources Big Data Center of South China Sea Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) Zhanjiang 524025 China;

    Laboratory of Coastal Ocean Variation and Disaster Prediction College of Ocean and Meteorology Guangdong Ocean University Zhanjiang 524088 China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号