A Multi-Channel 3D Convolutional-Recurrent Neural Network for Convective Storm Nowcasting. - Wei Zhang 069; Rui Zhang; Haonan Chen 001; Guangxin He; Yurong Ge; Lei Han 004 (IGARSS, 2021)

Using Multi-Source data to Remove Non-Precipitation Echoes in Weather Radar Data. - Xuehong Guo; Lejian Zhang; Yubao Chen; Lei Han 004; Yurong Ge; Yizhuo Sha (IGARSS, 2022)

A Machine Learning Approach for Convective Initiation Detection Using Multi-source Data. - Xuan Liu; Haonan Chen 001; Lei Han 004; Yurong Ge (IGARSS, 2022)

Application of Segmental-Correction Machine Learning Methods in Radar Quantitative Precipitation Estimation Correction by Rain Gauge. - Yu Wang; Lejian Zhang; Yubao Chen; Lei Han 004; Yurong Ge; Yizhuo Sha (IGARSS, 2022)

Convective Precipitation Nowcasting Using U-Net Model. - Lei Han 004; He Liang; Haonan Chen 001; Wei Zhang 069; Yurong Ge (IEEE Trans. Geosci. Remote. Sens., 2022)

Multitask Learning for Precipitation Estimation Using Satellite Observations From the GOES-R Series. - Wensheng Yang 003; Haonan Chen 001; Lei Han 004; Yurong Ge (IEEE Geosci. Remote. Sens. Lett., 2023)

Pixel-CRN: A New Machine Learning Approach for Convective Storm Nowcasting. - Wei Zhang 069; Haonan Chen 001; Lei Han 004; Rui Zhang; Yurong Ge (IEEE Trans. Geosci. Remote. Sens., 2023)