文献类型：期刊文献

中文题名：eSQG方法在南海垂向流速诊断中的应用研究

英文题名：Application of eSQG method in vertical velocity diagnosis in the South China Sea

作者：黄家辉[1,2];谢玲玲[1,2,3];李强[1,2,3];李敏[1,2,3]

机构：[1]广东海洋大学海洋与气象学院近海海洋变化与灾害预警实验室,广东湛江524088;[2]广东省高等学校陆架及深远海气候资源与环境重点实验室,广东湛江524088;[3]自然资源部空间海洋遥感与应用重点实验室,北京100081

年份：2022

卷号：44

期号：12

起止页码：55

中文期刊名：海洋学报

收录：CSTPCD、、CSCD2021_2022、Scopus、北大核心、CSCD、北大核心2020

基金：国家自然科学基金(42276019,41776034);广东省普通高校创新团队项目(2019KCXTF021);广东省高冲一流专项(080503032101,231420003)。

语种：中文

中文关键词：垂向流速;eSQG;时空变化;南海;OFES

外文关键词：vertical velocity;eSQG;spatio-temporal variation;South China Sea;OFES

中文摘要：本文利用OFES模式0.1°×0.1°高分辨率温盐、流速和海面高度(SSH)数据,分析eSQG方法在南海垂向流速诊断中的适用性和南海垂向流速的时空变化特征。结果表明,基于SSH和eSQG的诊断垂向流速ω_(eSQG)与OFES模拟“真值”垂向流速ω_(OFES)整体量级基本相当,为O(10^(-5)m/s),空间上呈现北强南弱。深海盆(水深大于1000 m)ω_(eSQG)与ω_(OFES)的水平空间分布的相关系数r^(s)在次表层150 m左右达到最大,高于南海全海域的空间相关系数,表明eSQG在远离边界的深水区更有效。季节上,ω_(eSQG)总体夏强冬弱,与ω_(OFES)的相关系数r^(s)冬季大、夏季小,表明eSQG更适用于冬季南海垂向流速的诊断。eSQG诊断垂向流速在台湾西南部和越南以东适用性更高,与ω_(OFES)的时间相关系数r^(t)超过0.6;海盆南部和西北部陆架区诊断效果较差,时间相关系数r^(t)多小于0.2。同一区域ω_(eSQG)和ω_(OFES)空间相关系数存在18~55 d的周期变化。分析显示,海面高度与海面密度同相位分布时,ω_(eSQG)与“真值”ω_(OFES)更接近。时间分辨率对eSQG诊断效果几乎无影响,空间分辨率降低到0.25°时r^(s)整体增大,说明eSQG在中尺度诊断效果更好。

外文摘要：Using 0.1°×0.1°high-resolution temperature,salinity,velocity and sea surface height(SSH)data from the ocean general circulation model for the earth simulator(OFES)model,this study analyzes the capability and applicability of the eSQG(effective Surface Quasi-Geostrophy)method in vertical velocity diagnosis in the South China Sea(SCS),as well as the spatiotemporal variation of vertical velocities.The diagnosed vertical velocities ω_(eSQG) from SSH with the eSQG method are of the same order of 10^(?5) m/s as the“true”vertical velocities ω_(OFES) from the OFES model.ω_(eSQG) shows spatial variations with higher values in northern basin.The correlation coefficients of the horizontal distribution of ω_(eSQG) and ω_(OFES)(r^(s))are greater in deep basin than that in the whole SCS,suggesting that the eSQG method is more efficient in vertical velocity diagnosis in deep water far from boundaries.Vertically,the correlation coefficient has maximum values occurring in the subsurface layer at about 150 m.ω_(eSQG) is stronger in summer and rs show seasonal variation with higher values in winter,indicating more efficient in eSQG diagnosis in winter.ω_(eSQG) is reliable in the regions southwest of Taiwan and east of Vietnam,where the temporal correlation coefficients of ω_(eSQG) and ω_(OFES)(r^(t))exceed 0.6,while ω_(eSQG) is poorly correlated to ω_(OFES) in the shelf regions in the southern and northwestern SCS with rt mostly under 0.2.r^(s) in the same region is varying at periods of about 18?55 d.ω_(eSQG) performs better as the distributions of the SSH and the sea surface density are in same phase.ω_(eSQG) varies little as the temporal resolution of SSH varies,while rs increases as spatial resolution reduced to 0.25°in mesoscales.