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The Roles of Different Mechanisms Related to the Tide-induced Fronts in the Yellow Sea in Summer 被引量:7
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作者 ren shihe XIE Jiping ZHU Jiang 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2014年第5期1079-1089,共11页
In summer, the Yellow Sea Cold Water Mass (YSCWM) is a stable water mass of low temperature lying at the bottom of the central Yellow Sea (YS). It is fringed by some typical tidal fronts, which separate deep, stra... In summer, the Yellow Sea Cold Water Mass (YSCWM) is a stable water mass of low temperature lying at the bottom of the central Yellow Sea (YS). It is fringed by some typical tidal fronts, which separate deep, stratified water on the offshore side from the well-mixed, shallow water on the inshore side. Three striking fronts--Subei Bank Front (SBF), Shandong Peninsula Front (SPF), and Mokpo Front (MKF; a front off the southwestern tip of the Korean Peninsula)--have been iden- tified by various studies from both satellite observations and model results. Tide plays an important role in the formation and maintenance of these fronts. However, it is still a matter of debate as to the roles these two kinds of mechanisms of upwelling and tidal mixing play, and how importance they are in the maintenance processes of the above three fronts. Basing a nested high-resolution model HYCOM (the Hybrid Coordinate Ocean Model), this study focuses on the different mechanisms of tidal effects on the thermal fronts in the YS in summertime. Through comparative experiments with and without tidal forcing, the results indicate that the MKF is mainly driven by tide-induced upwelling. For the SPF, tidal mixing is the dominant factor, when lower cold water is stirred upwards along the sloping topography of the western YS. Meanwhile, the combined effect of upwelling and tidal mixing is the main cause of the formation of the SBF. Diagnostic analysis of thermal balance shows that horizontal nonlinear advection induced by strong tidal currents also contributes to the thermal balance of frontal areas. 展开更多
关键词 tidal front tide-induced upwelling tidal mixing thermal balance
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基于U-Net的海洋锋智能检测模型
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作者 任诗鹤 韩焱红 +4 位作者 李竞时 赵亚明 匡晓迪 吴湘玉 杨晓峰 《空间科学学报》 CAS CSCD 北大核心 2023年第6期1091-1099,共9页
海洋锋作为海洋中两种不同性质的水体之间的边界,对渔业和海洋环境保护等许多领域有重要影响,如何快速准确实现海洋锋的自动检测和识别对于海洋监测和预报具有重要的科学意义。将深度学习图像分割网络与提取锋面特征的方法相结合,利用基... 海洋锋作为海洋中两种不同性质的水体之间的边界,对渔业和海洋环境保护等许多领域有重要影响,如何快速准确实现海洋锋的自动检测和识别对于海洋监测和预报具有重要的科学意义。将深度学习图像分割网络与提取锋面特征的方法相结合,利用基于U-Net架构的实例分割模型,分别建立海洋锋区和锋面中心线的智能检测模型,同时在编解码过程中采用残差学习单元对模型特征提取网络进行改进。研究结果表明,锋面智能检测模型能够准确提取先前锋面检测算法所识别的锋区和锋面中心线特征,Dice系数分别达到了0.92和0.97,达到了很好的检测效果。同时,利用不同锋面阈值得到的样本数据对模型进行训练,比较结果表明,降低样本集阈值之后模型精度有了显著的提升。 展开更多
关键词 海洋锋 海表温度 深度学习 U-Net
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