activity
20162020
most citedConvolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data

95 citations · 201 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 2 cited

A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting

W. Zhang, H. Liu, P. Li +1

The goal of convective storm nowcasting is local prediction of severe and imminent convective storms. Here, we consider the convective storm nowcasting problem from the perspective…

cs.CV2019★ 3 cited

A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting

Wei Zhang, Wei Li, Lei Han

Very short-term convective storm forecasting, termed nowcasting, has long been an important issue and has attracted substantial interest. Existing nowcasting methods rely principal…

physics.geo-ph2019★ 95 cited

Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data

Lei Han, Juanzhen Sun, Wei Zhang

Convective storms are one of the severe weather hazards found during the warm season. Doppler weather radar is the only operational instrument that can frequently sample the detail…

cs.CV2017★ 42 cited

Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting

Wei Zhang, Lei Han, Juanzhen Sun +2

Convective storm nowcasting has attracted substantial attention in various fields. Existing methods under a deep learning framework rely primarily on radar data. Although they perf…

physics.ao-ph2016★ 59 cited

A Machine Learning Nowcasting Method based on Real-time Reanalysis Data

Lei Han, Juanzhen Sun, Wei Zhang +3

Despite marked progress over the past several decades, convective storm nowcasting remains a challenge because most nowcasting systems are based on linear extrapolation of radar re…