Flow Field Analysis and Development of a Prediction Model Based on Deep Learning
The velocity of ocean currents significantly affects the trajectory prediction of ocean drifters and the safe navigation of intelligent vessels. Currently, most ocean current predictions focus on time-based forecasts at specific fixed points. In this study, deep learning based on the flow field pred...
Saved in:
| Main Authors: | Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/12/11/1929 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Synergistic Utilization of Spaceborne SAR Observations for Monitoring the Baltic Sea Flow Through the Danish Straits
by: Anis Elyouncha, et al.
Published: (2024-10-01) -
Prediction of Sea Surface Current Around the Korean Peninsula Using Artificial Neural Networks
by: Jeong‐Yeob Chae, et al.
Published: (2024-12-01) -
The Evolution of Powell Basin (Antarctica)
by: Alberto Santamaría Barragán, et al.
Published: (2024-10-01) -
Surface Current Observations in the Southeastern Tropical Indian Ocean Using Drifters
by: Prescilla Siji, et al.
Published: (2025-04-01) -
Anthropogenic Iodine‐129 Traces Complex Inflows of Atlantic and Pacific Waters Into the Western Arctic
by: Yuanzhi Qi, et al.
Published: (2025-04-01)