Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kanghui Zhou"'
Autor:
Jinyang Xie, Kanghui Zhou, Haonan Chen, Lei Han, Liang Guan, Maoyu Wang, Yongguang Zheng, Hongjin Chen, Jiaqi Mao
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024)
Abstract Tornadoes, as highly destructive weather events, require accurate detection for effective decision‐making. Traditional radar‐based tornado detection algorithms (TDA) face challenges with limited tornado feature extraction capabilities, l
Externí odkaz:
https://doaj.org/article/2a3065b8b19e4ec2b724efe2b4f3a181
Publikováno v:
Advances in Atmospheric Sciences. 39:1472-1486
Autor:
Yuanchun Zhang, Kanghui Zhou, Xinlin Yang, Xiaoling Zhang, Yongguang Zheng, Ruoyun Ma, Xuqing Han, Jianhua Sun
Publikováno v:
Journal of Meteorological Research. 34:699-719
Located in the Asian monsoon region, China frequently experiences severe convective weather (SCW), such as short-duration heavy rainfall (SDHR), thunderstorm high winds, hails, and occasional tornadoes. Progress in SCW forecasting in China is closely
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 37:927-942
Precise and timely lightning nowcasting is still a great challenge for meteorologists. In this study, a new semantic segmentation deep learning network for cloud-to-ground (CG) lightning nowcasting, named LightningNet, has been developed. This networ
Publikováno v:
Weather and Forecasting. 35:299-308
It is argued here that even with the development of objective algorithms, convection-allowing numerical models, and artificial intelligence/machine learning, conceptual models will still be useful for forecasters until all these methods can fully sat
Publikováno v:
Journal of Meteorological Research. 33:797-809
A deep learning objective forecasting solution for severe convective weather (SCW) including short-duration heavy rain (HR), hail, convective gusts (CG), and thunderstorms based on numerical weather prediction (NWP) data was developed. We first estab