采用梯度依赖相关尺度方法构建了1套2004—2017年间,月平均的全球海洋(0~1 500 m)1°×1°的Argo数据集,并在对该数据集进行对比检验的基础上,将其初步应用于中西太平洋黄鳍金枪鱼的渔场分析研究。结果表明,所构建的Argo数据集与WOA13数据集的温、盐偏差在上表层(150 m)稍大,最大值分别约为0.5 ℃和0.1,且偏差均随深度的增加而逐渐减小;其与TAO浮标时间序列的温度偏差,2004—2017年间均小于1 ℃,最大盐度偏差则小于0.5,且大部分海域接近0。中西太平洋海域,黄鳍金枪鱼中心渔场多集中在 28~29 ℃ 等温线范围内,在 22 ℃以下的海域单位捕捞努力量渔获量(catch per unit effort,CPUE)值极小;中心渔场区温跃层上界深度范围在20~120 m之间,且中心渔场在各个深度上形成的频数大体呈正态分布,温跃层上界深度为90 m时,形成中心渔场的可能性达到最大。研究表明所构建的数据集在水文环境分析及资源评估中有一定的应用价值。
Abstract
A set of monthly mean global ocean(0~1 500 m)Argo data sets (1°× 1°) from 2004 to 2017 was constructed by using “Gradient-dependent Correlation Scale Method”. And based on the comparative test of the data set, we have initially applied the data set to the fisheries analysis of yellowfin tuna in the Central and Western Pacific Ocean. The results show that the temperature and salinity deviations between the Argo data set and the WOA13 historical data set were slightly larger in the upper surface layer of the ocean about 0.5 ℃ and 0.1 respectively, and the two deviations both decreases gradually with the increase of depth. The temperature deviations between the Argo data set and time series of the TAO buoy were less than 1 °C in 2004-2017, and the maximum salinity deviations were less than 0.5 while most of those in the sea areas were close to 0. In the Central and Western Pacific Ocean, the central fishing ground of yellowfin tuna mostly concentrated at the isotherm of the range of 28 ~ 29 ℃, and in the sea areas where temperature below 22 ℃, the catch per unit effort (CPUE) value was very small. In the central fishery area, the upper boundary depth of the thermocline was in the range of 20 m and 120 m, and the frequency of formation of the center fishing ground at each depth was generally normal distribution. When the upper boundary depth of the thermocline was 90 m, the possibility of forming the center fishing ground was the greatest. While further verifying the reliability of the data set, it is also shown that the data set constructed in our study has certain application value in hydrologic environment analysis and resource assessment.
关键词
梯度依赖 /
最优插值 /
Argo /
渔场分析
Key words
gradient-dependent /
OI /
Argo /
analysis of fishing ground
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基金
农业部远洋与极地渔业创新重点实验室开放基金项目资助(A1-0203-00-2017-1)
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