Variability

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 …

zhongkun-feng

Effect of the Blocking High-East Asian Trough on Three Extreme Cold Events in Eastern Asia

Three extreme cold events occurred in eastern Asia in January 2016, January 2021, and December 2023. As important factors in atmospheric circulation anomalies, the Blocking High …

ziqun-zhang

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 …

bowen-xie

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 …

xiaoqian-li

Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model

Estimating the ocean's subsurface thermohaline information from satellite measurements is essential for understanding ocean dynamics and the El Ni & ntilde;o phenomenon. This paper …

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Xianmei Zhou

Causes of the Extreme Cold Event in December 2023 on Eastern China

An extreme cold event outbreaks in Eastern China (EC) in December 16-22, 2023. Its maximum intensity (-8.30 degrees C) and duration (7 days) are in the second place in December …

baoxu-chen

Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method

The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of ocean dynamics and global climate change. However, the methods of estimating MLD still …

chen-gu

Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method

The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of ocean dynamics and global climate change. However, the methods of estimating MLD still …

chen-gu