Skillful prediction of boreal winter-spring seasonal precipitation in Southern China based on machine learning approach and dynamical ENSO prediction-Reference-Cited by-同舟云学术

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Skillful prediction of boreal winter-spring seasonal precipitation in Southern China based on machine learning approach and dynamical ENSO prediction

Published:2024-05-24 Issue:7 Volume:155 Page:6529-6543
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Cao Ting-wei,Xu Yi-ran,Zheng Fei,Yang Ruo-wen

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00704-024-05011-8.pdf

Reference72 articles.

1. Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2(4):433–459. https://doi.org/10.1002/wics.101

2. Alexander MA et al (2002) The atmospheric bridge: the influence of ENSO teleconnections on air-sea interaction over the global oceans. J Clim 15(16):2205–2231. https://doi.org/10.1175/1520-0442(2002)015%3c2205:tabtio%3e2.0.co;2

3. Barnston AG et al (2012) The skill of real-time seasonal ENSO model predictions during 2002–11: is our capability increasing? Bull Amer Meteorol Soc 93(5):631–651. https://doi.org/10.1175/BAMS-D-11-00111.1

4. Bjerknes J (1969) Atmospheric teleconnections from the equatorial Pacific. Mon Weather Rev 97(3):163–172. https://doi.org/10.1175/1520-0493(1969)097%3c0163:atftep%3e2.3.co;2

5. Chang C-P, Zhang Y-S, Li T (2000) Interannual and interdecadal variation of the East Asian summer monsoon and tropical Pacific SSTs. Part I: roles of the subtropical ridge. J Clim 13(24):4310–4325. https://doi.org/10.1175/1520-0442(2000)013%3c4310:iaivot%3e2.0.co;2

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