Seamless Prediction in China: A Review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00376-023-2335-z.pdf
Reference217 articles.
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3. Bannister, R. N., 2017: A review of operational methods of variational and ensemble-variational data assimilation. Quart. J. Roy. Meteor. Soc., 143, 607–633, https://doi.org/10.1002/qj.2982.
4. Bao, Q., and J. Li, 2020: Progress in climate modeling of precipitation over the Tibetan Plateau. National Science Review, 7, 486–487, https://doi.org/10.1093/nsr/nwaa006.
5. Bao, Q., X. F. Wu, J. X. Li, L. Wang, B. He, X. C. Wang, Y. M. Liu, and G. X. Wu, 2019: Outlook for El Niño and the Indian Ocean dipole in autumn-winter 2018–2019. Chinese Science Bulletin, 64, 73–78, https://doi.org/10.1360/N972018-00913. (in Chinese with English abstract)
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