MSF: One Lightweight Deep Learning Nowcasting Method with Attention Mechanism using Dual-Polarization Radar Observations
Author:
Affiliation:
1. Colorado State University,Fort Collins,CO
2. College of Information Science and Engineering, Ocean University of China,Qingdao,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283277.pdf?arnumber=10283277
Reference6 articles.
1. MCT U-net: A Deep Learning Nowcasting Method Using Dual-polarization Radar Observations
2. Microphysical processes of super typhoon Lekima (2019) and their impacts on polarimetric radar remote sensing of precipitation
3. Deep learning for precipitation nowcasting: A benchmark and a new model;shi,2017
4. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
5. An Improved Dual-Polarization Radar Rainfall Algorithm (DROPS2.0): Application in NASA IFloodS Field Campaign
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