Investigating Green Tide Drift Mechanisms Across Different Time Scales Through Geostationary Image Data
M Ji, L Wang, C Zhao - IGARSS 2024-2024 IEEE International …, 2024 - ieeexplore.ieee.org
M Ji, L Wang, C Zhao
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing …, 2024•ieeexplore.ieee.orgThis study employs the drift velocity of green tide extracted from geostationary image data
and dynamic data to analyze the drift characteristics of green tide and explore the driving
mechanisms behind their movement in the Yellow Sea of China. The results reveal
pronounced spatial variations in the drift of green tide patches with distinct directions of
movement across a north-south boundary. In the region south of 34° 40'N, the green tide
patches move northward, while north of 34° 40'N, they drift westward. Additionally, tidal …
and dynamic data to analyze the drift characteristics of green tide and explore the driving
mechanisms behind their movement in the Yellow Sea of China. The results reveal
pronounced spatial variations in the drift of green tide patches with distinct directions of
movement across a north-south boundary. In the region south of 34° 40'N, the green tide
patches move northward, while north of 34° 40'N, they drift westward. Additionally, tidal …
This study employs the drift velocity of green tide extracted from geostationary image data and dynamic data to analyze the drift characteristics of green tide and explore the driving mechanisms behind their movement in the Yellow Sea of China. The results reveal pronounced spatial variations in the drift of green tide patches with distinct directions of movement across a north-south boundary. In the region south of 34°40'N, the green tide patches move northward, while north of 34°40'N, they drift westward. Additionally, tidal currents predominantly drive the short-term migration of green tide patches, while wind and ocean currents govern the net transport of these patches over longer intervals.
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