A Deep Learning Method With Merged LSTM Neural Networks for SSHA Prediction. - Tao Song 001; Jingyu Jiang; Wei Li 203; Danya Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Mid-Term Simultaneous Spatiotemporal Prediction of Sea Surface Height Anomaly and Sea Surface Temperature Using Satellite Data in the South China Sea. - Qi Shao; Wei Li 203; Guangchao Hou; Guijun Han; Xiaobo Wu (IEEE Geosci. Remote. Sens. Lett., 2022)

A Simple Statistical Intra-Seasonal Prediction Model for Sea Surface Variables Utilizing Satellite Remote Sensing. - Qi Shao; Yanling Zhao; Wei Li 203; Guijun Han; Guangchao Hou; Chaoliang Li; Siyuan Liu; Yantian Gong; Hanyu Liu; Ping Qu (Remote. Sens., 2022)

A Mid- and Long-Term Arctic Sea Ice Concentration Prediction Model Based on Deep Learning Technology. - Qingyu Zheng; Wei Li 203; Qi Shao; Guijun Han; Xuan Wang (Remote. Sens., 2022)

HY-2B SMR's Sea Surface Temperature Retrieval Considering Parameter Crosstalk. - Wu Zhou; Mingsen Lin; Wei Li 203; Xiaobin Yin; Yinan Li 003; Xi Li 008; Qingxia Li; Shishuai Wang; Rui Yu (IEEE Trans. Geosci. Remote. Sens., 2023)

A Spatiotemporal Multiscale Deep Learning Model for Subseasonal Prediction of Arctic Sea Ice. - Qingyu Zheng; Ru Wang; Guijun Han; Wei Li 203; Xuan Wang; Qi Shao; Xiaobo Wu; Lige Cao; Gongfu Zhou; Song Hu (IEEE Trans. Geosci. Remote. Sens., 2024)

SST Forecast Skills Based on Hybrid Deep Learning Models: With Applications to the South China Sea. - Mengmeng Zhang; Guijun Han; Xiaobo Wu; Chaoliang Li; Qi Shao; Wei Li 203; Lige Cao; Xuan Wang; Wanqiu Dong; Zenghua Ji (Remote. Sens., 2024)