Author:
Wang Yu,Dai Kan,Zong Zhiping,Shen Yue,Zhao Ruixia,Tang Jian,Liu Couhua
Publisher
Springer Science and Business Media LLC
Reference54 articles.
1. Ahmed, K., D. A. Sachindra, S. Shahid, et al., 2020: Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms. Atmos. Res., 236, 104806, doi: https://doi.org/10.1016/j.atmosres.2019.104806.
2. Bougeault, P., Z. Toth, C. Bishop, et al., 2010: The THORPEX interactive grand global ensemble. Bull. Amer. Meteor. Soc., 91, 1059–1072, doi: https://doi.org/10.1175/2010BAMS2853.1.
3. Bouttier, F., and H. Marchal, 2020: Probabilistic thunderstorm forecasting by blending multiple ensembles. Tellus A, 72, 1–19, doi: https://doi.org/10.1080/16000870.2019.1696142.
4. Cao, Y., C. H. Liu, Z. P. Zong, et al., 2016: State-level gridded quantitative precipitation forecasting system. Meteor. Mon., 42, 1476–1482.
5. Chen, L. Q., X. S. Zhou, and S. Yang, 2005: A quantitative precipitation forecasts method for short-range ensemble forecasting. J. Nanjing Inst. Meteor., 28, 543–548, doi: https://doi.org/10.3969/j.issn.1674-7097.2005.04.015. (in Chinese)
Cited by
4 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