韩雷

发布者:张亚健发布时间:2024-10-30浏览次数:717

  • 1. Multi‐task learning for tornado identification using Doppler radar data Geophysical Research Letters 2024 理工科顶尖SCI 通讯作者
  • 2. Improving explainability of deep learning for polarimetric radar rainfall estimation Geophysical Research Letters 2024 理工科顶尖SCI 通讯作者
  • 3. StarNet: A Deep Learning Model for Enhancing Polarimetric Radar Quantitative Precipitation Estimation IEEE Transactions on Geoscience and Remote Sensing 2024 理工科顶尖SCI 通讯作者
  • 4. A Deep Learning Approach for Forecasting Thunderstorm Gusts in the BeijingTianjinHebei Region Adv. Atmos. Sci. 2024 理工科权威SCI 通讯作者
  • 5. Comparative study on the performance of ConvLSTM and ConvGRU in classification problems—taking early warning of short-duration heavy rainfall as an example Atmospheric and Oceanic Science Letters 2024 SCI 通讯作者
  • 6. Polarimetric Radar Quantitative Precipitation Estimation Using Deep Convolutional Neural Networks IEEE Transactions on Geoscience and Remote Sensing 2023 理工科顶尖SCI
  • 7. Pixel-CRN: A new machine learning approach for convective storm nowcasting IEEE Transactions on Geoscience and Remote Sensing 2023 理工科顶尖SCI
  • 8. The roles of surface convergence line and upper-level forcing on convection initiation ahead of a gust front: A case study Journal of Geophysical Research: Atmospheres 2023 理工科顶尖SCI
  • 9. Statistical analysis of quasi-linear convective systems over the Beijing-Tianjin-Hebei region during the warm season Atmospheric Research 2023 理工科顶尖SCI
  • 10. Toward the Predictability of a Radar-Based Nowcasting System for Different Precipitation Systems IEEE Geoscience and Remote Sensing Letters 2022 理工科权威SCI
  • 11. Convective precipitation nowcasting using U-Net model IEEE Transactions on Geoscience and Remote Sensing 2022 理工科顶尖SCI
  • 12. Advancing Radar Nowcasting Through Deep Transfer Learning IEEE Transactions on Geoscience and Remote Sensing 2022 理工科顶尖SCI
  • 13. Cross validation of GOES-16 and NOAA multi-radar multi-sensor (MRMS) QPE over the continental United States Remote Sensing 2021 理工科权威SCI
  • 14. A deep learning method for bias correction of ECMWF 24–240 h forecasts Adv. Atmos. Sci. 2021 理工科权威SCI
  • 15. Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep Learning and Himawari-8 Observations Remote Sensing 2021 理工科权威SCI
  • 16. A two stage learning technique for precipitation retrieval using ABI and GLM measurements on the GOES R series 2021 PhotonIcs & Electromagnet ics Research Symposium ( PIERS) 2021 EI
  • 17. Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data IEEE Transactions on Geoscience and Remote Sensing 2020 理工科顶尖SCI
  • 18. Quantification of Precipitation Using Polarimetric Radar Measurements during Several Typhoon Events in Southern China Remote Sensing 2020 理工科权威SCI
  • 19. An investigation of a probabilistic nowcast system for dual-polarization radar applications 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2020 EI
  • 20. Radar image prediction using generative adversarial networks International Conference on Graphics and Image Processing 2020 EI
  • 21. A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting 2020 IEEE International Conference on Big Data 2020 EI
  • 22. Early Recognition of Convective Initiation Using 3D U-Net with Multi-source Data International Conference on Graphics and Image Processing 2020 EI
  • 23. Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting 2019 IEEE International Conference on Big Data 2019 EI
  • 24. A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting 2019 IEEE International Conference on Big Knowledge 2019 EI
  • 25. A tropical cyclone similarity search algorithm based on deep learning method Atmos. Res. 2018 理工科顶尖SCI
  • 26. A machine learning nowcasting method based on real-time reanalysis data J. Geophys. Res. 2017 理工科顶尖SCI