Adaptive Event-Triggered Control for Multi-Agent Systems with State Time-Delays and Full State Constraints

基于深度胶囊网络融合模型的多声音事件检测

A Transfer Learning–CNN Framework for Marine Atmospheric Pollutant Inversion Using Multi-Source Data Fusion

Attention-Enhanced Deep Learning Model for Reconstruction and Downscaling of Thermocline Depth in the Tropical Indian Ocean

Physics informed neural network framework for time-varying wind stress drag coefficient identification in the Ekman model

A Dual-attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal

Variations in ocean mixed layer depth (MLD) show a significant impact on energy balance in the …

Estimating Subsurface Thermohaline Structure in the tropical Western Pacific using DO-ResNet model

Estimating ocean subsurface thermohaline information from satellite data is vital for understanding ocean dynamics and El Niño. This paper presents a double-output Residual Neural Network (DO-ResNet) to estimate ocean subsurface temperature (OST) and salinity (OSS) in the tropical Western Pacific using multi-source remote sensing data. The model, trained and validated with Argo data, shows strong performance, with average RMSE and R² values of 0.34°C (0.05 psu) and 0.91 (0.95) for OST (OSS). DO-ResNet outperforms other models, effectively capturing spatial features and displaying strong seasonal adaptability. This research introduces a new AI method for estimating OST and OSS.

Research on vertical structure and origin of eddies in Kuroshio-Oyashio Extension region

As a ubiquitous motion phenomenon in the ocean, mesoscale eddies play a key role in the transport and distribution of global heat, salinity, energy and marine biochemical processes. The Kuroshio-Oyashio extension region is one of the regions with most abundant eddy activities in the global ocean, and it is also a hot spot for air-sea interaction in the mid-latitudes. As the intersection of the subtropical circulation and the subpolar circulation in the North Pacific, this sea area has complex ocean fronts and large-scale circulation systems, resulting in rich and diverse mesoscale eddy phenomena. The study of mesoscale eddies in the Kuroshio-Oyashio extension region is of great significance for understanding the contribution of oceanic mesoscale phenomena in mid-latitude air-sea interactions and global multi-scale energy balance. Based on satellite observations, in situ observations of Argo profiles, and reanalysis data, this dissertation systematically studies the surface features, vertical structures and sources of the mesoscale eddies in the Kuroshio-Oyashio extension ocean.