A 1024-Member Ensemble Data Assimilation with 3.5-Km Mesh Global Weather Simulations

Author:

Yashiro Hisashi,Terasaki Koji,Kawai Yuta,Kudo Shuhei,Miyoshi Takemasa,Imamura Toshiyuki,Minami Kazuo,Inoue Hikaru,Nishiki Tatsuo,Saji Takayuki,Satoh Masaki,Tomita Hirofumi

Funder

RIKEN

Publisher

IEEE

Cited by 21 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. A Novel Cyclone Detection System Using Deep Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Dynamic load/propagate/store for data assimilation with particle filters on supercomputers;Journal of Computational Science;2024-03

3. High Throughput Training of Deep Surrogates from Large Ensemble Runs;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

4. Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

5. Continuous data assimilation of large eddy simulation by lattice Boltzmann method and local ensemble transform Kalman filter (LBM-LETKF);Fluid Dynamics Research;2023-11-09

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