MIMO: A Unified Spatio-Temporal Model for Multi-Scale Sea Surface Temperature Prediction
Sea surface temperature (SST) is a crucial factor that affects global climate and marine activities. Predicting SST at different temporal scales benefits various applications, from short-term SST prediction for weather forecasting to long-term SST prediction for analyzing El Niño–Southern Oscillatio...
Main Authors: | Siyun Hou, Wengen Li, Tianying Liu, Shuigeng Zhou, Jihong Guan, Rufu Qin, Zhenfeng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/10/2371 |
Similar Items
-
Multiscale Spatio-Temporal Attention Network for Sea Surface Temperature Prediction
by: Zhenxiang Bai, et al.
Published: (2025-01-01) -
Cold Intermediate Water Formation in the Black Sea Triggered by March 2022 Cold Intrusions
by: Tülay Çokacar
Published: (2024-11-01) -
Seasonal Variability of SST Fronts in the Inner Sea of Chiloé and Its Adjacent Coastal Ocean, Northern Patagonia
by: Gonzalo S. Saldías, et al.
Published: (2021-01-01) -
Validation and Application of Satellite-Derived Sea Surface Temperature Gradients in the Bering Strait and Bering Sea
by: Jorge Vazquez-Cuervo, et al.
Published: (2024-07-01) -
Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology
by: Pallavi Devidas Govekar, et al.
Published: (2022-08-01)