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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
海面クロロフィル、温度、海面高さ、風、および衛星観測から得られた、または衛星観測から得られた前線データは、海洋を特徴付ける効果的な方法を提供します。本講演は、これらのデータの総合的な研究方法であり、全体の平均、季節周期、相関分析を含め、地域のダイナミクスや生態系を十分に理解する方法です。
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