A Machine Learning Nowcasting Method based on Real-time Reanalysis Data. - Lei Han 004; Juanzhen Sun; Wei Zhang 069; Yuanyuan Xiu; Hailei Feng; Yinjing Lin (CoRR, 2016)

Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting. - Wei Zhang 069; Lei Han 004; Juanzhen Sun; Hanyang Guo; Jie Dai (IEEE BigData, 2019)

A Three-Dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting. - Wei Zhang 069; Wei Li; Lei Han 004 (ICBK, 2019)

A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting. - Wei Zhang 069; Hongling Liu; Pengfei Li; Lei Han 004 (IEEE BigData, 2020)

Cross validation of GOES-R and NOAA multi-radar multi-sensor (MRMS) QPE over the continental United States. - Luyao Sun; Haonan Chen 001; Lei Han 004; V. Chandrasekar 001; Jieying He; Yang Liu (IGARSS, 2020)

An investigation of a probabilistic nowcast system for dual-polarization radar applications. - Jianchang Zhang; Haonan Chen 001; Lei Han 004 (IGARSS, 2020)

Quantification of Precipitation Using Polarimetric Radar Measurements during Several Typhoon Events in Southern China. - Qiulei Xia; Wenjuan Zhang 002; Haonan Chen 001; Wen-Chau Lee; Lei Han 004; Yu Ma; Xiantong Liu (Remote. Sens., 2020)

Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data. - Lei Han 004; Juanzhen Sun; Wei Zhang 069 (IEEE Trans. Geosci. Remote. Sens., 2020)

A deep learning system for precipitation estimation using measurements from the Advanced Baseline Imager (ABI) on the GOES-R series. - Yang Liu; Haonan Chen 001; Lei Han 004; Jieying He (IGARSS, 2021)

Bias correction of satellite retrievals of orographic precipitation. - Luyao Sun; Haonan Chen 001; Lei Han 004 (IGARSS, 2021)

Short-term prediction of precipitation associated with landfalling hurricanes through deep learning. - Shun Yao; Haonan Chen 001; Lei Han 004 (IGARSS, 2021)

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)

Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep Learning and Himawari-8 Observations. - Mingshan Duan; Jiangjiang Xia; Zhongwei Yan; Lei Han 004; Lejian Zhang; Hanmeng Xia; Shuang Yu (Remote. Sens., 2021)

Cross Validation of GOES-16 and NOAA Multi-Radar Multi-Sensor (MRMS) QPE over the Continental United States. - Luyao Sun; Haonan Chen 001; Zhe Li 014; Lei Han 004 (Remote. Sens., 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)

The Interpretation of Deep Learning for Convective Storm Nowcasting. - Wenyuan Li; Haonan Chen 001; Lei Han 004; Jianliang Xu (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)

A Frequency-Matching Method for Bias Correction of Deep Learning Nowcasts. - Ming Zhang; Yanhui Yin; Haonan Chen 001; Lei Han 004 (IGARSS, 2022)

MCT U-net: A Deep Learning Nowcasting Method Using Dual-polarization Radar Observations. - Kexin Zhu; Haonan Chen 001; Lei Han 004 (IGARSS, 2022)

Toward the Predictability of a Radar-Based Nowcasting System for Different Precipitation Systems. - Lei Han 004; Jianchang Zhang; Haonan Chen 001; Wei Zhang 069; Shun Yao (IEEE Geosci. Remote. Sens. Lett., 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)

Advancing Radar Nowcasting Through Deep Transfer Learning. - Lei Han 004; Yangyang Zhao; Haonan Chen 001; V. Chandrasekar 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation: Model Interpretation and Explainability. - Wenyuan Li; Haonan Chen 001; Lei Han 004 (IGARSS, 2023)

MSF: One Lightweight Deep Learning Nowcasting Method with Attention Mechanism using Dual-Polarization Radar Observations. - Kexin Zhu; Haonan Chen 001; Lei Han 004 (IGARSS, 2023)

Physical Analysis of the Impact of Polarization Parameters on Deep-learning Networks for Nowcasting. - Kexin Zhu; Haonan Chen 001; Lei Han 004 (IGARSS, 2023)

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)

Polarimetric Radar Quantitative Precipitation Estimation Using Deep Convolutional Neural Networks. - Wenyuan Li; Haonan Chen 001; Lei Han 004 (IEEE Trans. Geosci. Remote. Sens., 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)

A Novel CNN-Based Radar Reflectivity Retrieval Network Using Geostationary Satellite Observations. - Jianwei Si; Xingwang Li; Haonan Chen 001; Lei Han 004 (IEEE Geosci. Remote. Sens. Lett., 2024)

StarNet: A Deep Learning Model for Enhancing Polarimetric Radar Quantitative Precipitation Estimation. - Wenyuan Li; Haonan Chen 001; Lei Han 004; Wen-Chau Lee (IEEE Trans. Geosci. Remote. Sens., 2024)

Enhanced Multimodal-Fusion Network for Radar Quantitative Precipitation Estimation Incorporating Relative Humidity Data. - Weijia Cui; Jianwei Si; Lejian Zhang; Lei Han 004; Yubao Chen (IEEE Trans. Geosci. Remote. Sens., 2025)

Enhancing Weather Radar Reflectivity Emulation From Geostationary Satellite Data Using Dynamic Residual Convolutional Network. - Jianwei Si; Haonan Chen 001; Lei Han 004 (IEEE Trans. Geosci. Remote. Sens., 2025)