Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics-Reference-Cited by-同舟云学术

Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics

Published:2024-02-22 Issue:5 Volume:41 Page:767-776
ISSN:0256-1530
Container-title:Advances in Atmospheric Sciences
language:en
Short-container-title:Adv. Atmos. Sci.

Author:

Deng Guo,Shen Xueshun,Du Jun,Gong Jiandong,Tong Hua,Deng Liantang,Xu Zhifang,Chen Jing,Sun Jian,Wang Yong,Hu Jiangkai,Wang Jianjie,Chen Mingxuan,Yuan Huiling,Zhang Yutao,Li Hongqi,Wang Yuanzhe,Gao Li,Sheng Li,Li Da,Li Li,Wang Hao,Zhao Ying,Li Yinglin,Liu Zhili,Guo Wenhua

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00376-023-3206-3.pdf

Reference36 articles.

1. Chen, M. X., and Coauthors, 2018: Enhanced weather research and forecasting in support of the Beijing 2022 Winter Olympic and Paralympic Games. WMO Bulletin, 67(2), 58–61.

2. Deng, G., L. L. Dai, Y. S. Zhou, J. Chen, H. Q. Li, F. J. Chen, and J. Z. Wang, 2022: Evaluation and analysis of meteorological service for Beijing Winter Olympic Games supported by CMA high-resolution regional ensemble prediction system. Meteorological Monthly, 48(2), 129–148, https://doi.org/10.7519/j.issn.1000-0526.2021.092901. (in Chinese with English abstract)

3. Deng, G., J. Du, Y. S. Zhou, L. Yan, J. Chen, F. J. Chen, H. Q. Li, and J. Z. Wang, 2023: A comparison between 2D and 3D rescaling masks of initial condition perturbation in a 3-km storm-scale ensemble prediction system. Wea. Forecasting, 38(1), 199–222, https://doi.org/10.1175/WAF-D-22-0073.1.

4. Di, D., R. L. Zhou, and R. Z. Lai, 2022: Parallax shift effect correction and analysis based on Fengyun-4A advanced imager. Acta Meteorologica Sinica, 80(4), 632–642, https://doi.org/10.11676/qxxb2022.044. (in Chinese with English abstract)

5. Du, J., and Coauthors, 2018: Ensemble methods for meteorological predictions. Handbook of Hydrometeorological Ensemble Forecasting, Q. Y. Duan et al., Eds., Springer, 1–52, https://doi.org/10.1007/978-3-642-40457-3_13-1.