Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks-Reference-Cited by-同舟云学术

Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Li Yiyuan¹^ORCID,Ju Xiting¹^ORCID,Xiao Yi¹^ORCID,Jia Qilong¹^ORCID,Zhou Yongxiao¹^ORCID,Qian Simeng²^ORCID,Lin Rongfen³^ORCID,Yang Bin¹^ORCID,Shi Shupeng⁴^ORCID,Liu Xin³^ORCID,Gao Jie³^ORCID,Wang Zhen³^ORCID,Liu Sha³^ORCID,Tan Jian³^ORCID,Wang Xuan³^ORCID,Hu Zhengding⁵^ORCID,Yan Limin⁶^ORCID,Xue Wei¹⁷^ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. National Supercomputing Center in Wuxi, Wuxi, China

3. National Research Center of Parallel Computer Engineering and Technology, Wuxi, China

4. National Supercomputing Center in Wuxi, Wuxi, Jiangsu, China

5. University of Science and Technology of China, Hefei, China

6. Beijing Sankuai Online Technology Co.,Ltd, Beijing, China

7. Department of Computer Technology and Application, Qinghai University, Xining, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581784.3607031

Reference41 articles.

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