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DOI :
10.3791/61172-v
•
10:28 min
June 13th, 2020
Chapters
0:04
Introduction
1:36
Sea Surface Temperature (SST) and Chlorophyll (CHL) Dataset Acquisition
2:32
Sea Level Anomaly (SLA), Wind Speed, and Topography Dataset Acquisition
3:45
Data Preprocessing
4:41
SST Front Detection
5:40
Spatial and Temporal Variability and Intercorrelation
6:31
Data Display
7:11
Results: Representative South China Sea (SCS) Surface CHL Analyses
9:24
Conclusion
从卫星观测中获得或派生的海面叶绿素、温度、海平面高度、风和正面数据为海洋的特征提供了有效的方法。介绍是一种全面研究这些数据的方法,包括总体平均值、季节周期和相互关系分析,以充分了解区域动态和生态系统。
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