A Source Apportionment Approach to Study the Evolution of Convective Cells: An Application to the Nowcasting of Convective Weather Systems
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx5/4609443/6157671/06074965.pdf?arnumber=6074965
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Toward a Deep-Learning-Network-Based Convective Weather Initiation Algorithm From the Joint Observations of Fengyun-4A Geostationary Satellite and Radar for 0–1h Nowcasting;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
2. Estimation of Convection-Related Parameters Over Vijayawada Station, India;Thalassas: An International Journal of Marine Sciences;2022-10-06
3. Convection-based assessment of pre-monsoon season instability indices over Chandigarh and Ladakh regions, India;Arabian Journal of Geosciences;2022-03-19
4. Convective cells tracking based on spatio‐temporal context and extended maxima transform using satellite images;The Journal of Engineering;2019-01
5. Detecting and tracking mesoscale precipitating objects using machine learning algorithms;International Journal of Remote Sensing;2017-05-26
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