Circulation

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

Accurate estimation of high-resolution thermocline depth is important for investigating ocean processes and climate variability on multiple scales. Due to the sparse coverage and …

Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data

Accurate sea surface temperature (SST) prediction is vital for disaster prevention, ocean circulation, and climate change. Traditional SST prediction methods, predominantly reliant …

Warming Structure of the Kuroshio in the East China Sea since 1970

The Kuroshio Current (KC) has witnessed rapid surface warming during the past half-century, impacting the marine ecosystems in surrounding regions. However, the vertical structure …

Comparing the Impacts of Tropical SST Variability and Polar Stratospheric Ozone Loss on the Southern Ocean Westerly Winds*