A combined model based on data decomposition and multi-model weighted optimization for precipitable water vapor forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00873-w.pdf
Reference42 articles.
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2. Ayantobo O, Wei J, Kang B, Li T, Wang G (2021) Spatial and temporal characteristics of atmospheric water vapour content and its relationship with precipitation conversion in China during 1980–2016. Int J Climatol 41(3):1747–1766. https://doi.org/10.1002/joc.6928
3. Acheampong A, Obeng K (2019) Application of GNSS derived precipitable water vapour prediction in West Africa. J Geo Science 9(1):41–47. https://doi.org/10.1515/jogs-2019-0005
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5. Dang Z, Zhang J, Qu Z, Zhao H, Zhang B, Zhang W (2015) The application of microwave radiometer observation data on precipitation forecast. J Arid Meteorol 33:340–343
Cited by 2 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 hybrid prediction framework combining deep neural network and modified optimization algorithm for water vapor prediction;Theoretical and Applied Climatology;2024-07-09
2. Application research of combined model based on VMD and MOHHO in precipitable water vapor Prediction;Atmospheric Research;2023-09
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