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基于EOF分析中西太平洋金枪鱼围网渔场的海洋环境
引用本文:张小龙,付东洋,刘大召,刘贝,余果,钟雅枫,王焕.基于EOF分析中西太平洋金枪鱼围网渔场的海洋环境[J].海洋学研究,2019,37(2):81-94.
作者姓名:张小龙  付东洋  刘大召  刘贝  余果  钟雅枫  王焕
作者单位:广东海洋大学海洋与气象学院,广东湛江524088;广东海洋大学电子与信息工程学院,广东湛江524088;广东海洋大学电子与信息工程学院,广东湛江,524088
基金项目:国家海洋公益性行业科研专项资助(201305019); 广东省自然科学基金资助(2014A030313603); 广东省科技计划项目资助(2013B030200002, 2016A020222016);广东省哲学社会科学规划项目资助(GD12YGL04); 广东省普通高校优秀青年创新人才培养计划资助( 2012WYM_0077)
摘    要:根据近10 a ECMWF的数值预报资料,主要分析了中西太平洋金枪鱼围网渔场四季和全年的海表温度、海面风场、有效波高的空间分布,利用经验正交方法(Empirical Orthogonal Function, EOF)和经验模态分解(Empirical Mode Decomposition, EMD)分析了空间和时间变化特性。研究表明:海表温度、海面风场、有效波高的四季及全年时空分布有着显著的变化;海表温度的第一、第二、第三模态方差贡献率分别为62.59%、10.98%和6.7%,具有0.5 a、1 a和3 a的周期变化;海面风场的第一、第二、第三模态方差贡献率分别为40.29%、18.39%和9.36%,具有0.2~0.25 a、0.5 a和1 a的周期变化;有效波高的第一、第二、第三模态方差贡献率分别为44.17%、17.35%和10.96%,具有0.2~0.3 a、0.5~1 a和1 a的周期变化。

关 键 词:海表温度  海面风场  有效波高  EOF分析  EMD分析
收稿时间:2018-11-12

Study on marine environment of the tuna purse seine fishery in Western and Central Pacific based on EOF analysis
ZHANG Xiao-long,FU Dong-yang,LIU Da-zhao,LIU Bei,YU Guo,ZHONG Ya-feng,WANG Huan.Study on marine environment of the tuna purse seine fishery in Western and Central Pacific based on EOF analysis[J].Journal of Marine Sciences,2019,37(2):81-94.
Authors:ZHANG Xiao-long  FU Dong-yang  LIU Da-zhao  LIU Bei  YU Guo  ZHONG Ya-feng  WANG Huan
Institution:1. College of Oceanography and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; 2. College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China
Abstract:According to the numerical forecast data of ECMWF in the past 10 years, we analyzed the spatial distribution of sea surface temperature, sea surface wind field and effective wave height of the four seasons and the whole year of the tuna purse seine fishery in the Western and Central Pacific Ocean, and studied the spatial and temporal variation characteristics using Empirical Orthogonal Function (EOF) and Empirical Mode Decomposition (EMD). Research shows that the spatial and temporal distributions of sea surface temperature, sea surface wind field, effective wave height have significant changes; the first, second, third modal variance contribution rates of sea surface temperature are 62.59%, 10.98%, 6.7%, and have 0.5 year, 1 year, 3 year cycle changes; the first, second, third modal variance contribution rates of sea surface wind field are 40.29%, 18.39%, 9.36%, and have 0.2-0.25 year, 0.5 year, 1 year cycle changes; the first, second, third modal variance contribution rates of effective wave height are 44.17%,17.35%, 10.96%, and have 0.2-0.3 year, 0.5-1 year, 1 year cycle changes.
Keywords:sea surface temperature  sea surface wind field  effective wave height  EOF analysis  EMD analysis  
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