基于HYCOM的西南黄海沿岸上升流分析
HYCOM-based analysis of coastal upwelling in the southwest Yellow Sea
潘锡山 1李春辉 2王彬3
作者信息
- 1. 江苏省海涂研究中心,江苏 南京 210036
- 2. 南京信息工程大学 海洋科学学院,江苏 南京 210044
- 3. 江苏科技大学 船舶与海洋工程学院,江苏 镇江 210024
- 折叠
摘要
沿岸上升流影响着近岸的营养物质的分布,从而对海洋生态环境的分布产生影响.本文利用经遥感SST数据检验的HYCOM模式数据,对黄海西南沿岸上升流的分布进行分析.从气候态变化、年际变化和季节内变化等三个时间尺度对西南黄海夏季的冷水斑和上升流进行分析,分析表明:多年平均的海表冷水斑中心纬度在33.60°N附近;在年际变化中,沿岸上升流对表层冷水斑的面积有影响,沿岸上升流的垂向流速对海面温度有一定影响;在季节内变化中,沿岸上升流的流速与冷水斑的面积及表层海水温呈中度相关性.基于ERA5风场再分析资料,从风应力和风应力旋度对Ekman输运和Ekman抽吸的影响来分析黄海西南部的沿岸上升流机制,结果表明风应力和风应力旋度与沿岸上升流的平均流速呈中度相关.
Abstract
Coastal upwelling has a strong influence on the distribution of nutrients and thus on the distribution of marine ecology.In this paper,HYCOM model data examined by remote sensing SST data was used to analyze the distribution of coastal upwelling in the Southwest Yellow Sea.The analysis of the marked cold water patches and upwelling in the Southwest Yellow Sea in summer from three time scales,including climatic state variation,interannual variation and intra-seasonal variation,showed that the latitude of the center of the surface cold water patches averaged over many years was near 33.60°N.In the interannual variation,the coastal upwelling influenced the area of the surface cold water patches and the vertical velocity of the coastal upwelling influenced the sea surface temperature;in the intra-seasonal variation,the coastal upwelling and in the intra-seasonal variation,the coastal upwelling is moderately correlated with the area of cold water patch and sea surface temperature.Based on the ERA5 reanalysis of wind field data,we analyzed the mechanism of upwelling in the southwest Yellow Sea from the effects of wind stress and wind stress cyclicity on Ekman transport and Ekman pumping,and the results showed that wind stress and wind stress cyclicity were moderately correlated with the mean velocity of coastal upwelling.
关键词
沿岸上升流/西南黄海/HYCOM/冷水斑Key words
coastal upwelling/southwest Yellow Sea/HYCOM/cold water spot引用本文复制引用
基金项目
江苏省海洋科技创新项目(JSZRHYKJ202102)
国家自然科学基金重点项目(42130405)
江苏省海洋科技创新项目(JSZRHYKJ202206)
江苏省海洋科技创新项目(JSZRHYKJ202001)
江苏省海洋科技创新项目(HY2019-1)
出版年
2024
NETL
NSTL
万方数据