Summer precipitation prediction in eastern China based on machine learning-Reference-Cited by-同舟云学术

Summer precipitation prediction in eastern China based on machine learning

Published:2022-08-24 Issue:9-10 Volume:60 Page:2645-2663
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Fan Peiyi,Yang Jie,Zhang Zengping,Zang Naihui,Li Yingfa,Feng Guolin^ORCID

Funder

the State Key Program of National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00382-022-06464-1.pdf

Reference62 articles.

1. Aldrian E, Dwi Susanto R (2003) Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature. Int J Climatol 23(12):1435–1452. https://doi.org/10.1002/joc.950

2. Allen Myles R, Ingram William J (2002) Constraints on future changes in climate and the hydrologic cycle. Nature 419(6903):228–232. https://doi.org/10.1038/nature01092

3. Benesty J, Chen J, Huang Y, Cohen I (2009) Pearson correlation coefficient. Noise reduction in speech processing. Springer topics in signal processing, vol 2. Springer, Berlin, Heidelberg

4. Carvalho MJ, Milton SF, Rodríguez JM (2020) Assessment of the teleconnection patterns affecting July precipitation in China and their forcing mechanisms in the met office unified model. J Clim 33(13):5727–5742

5. Chattopadhyay A, Hassanzadeh P, Pasha S (2020) Predicting clustered weather patterns: a test case for applications of convolutional neural networks to spatio-temporal climate data. Sci Rep 10(1):1317. https://doi.org/10.1038/s41598-020-57897-9

Cited by 5 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 stepwise clustered ensemble temperature downscaling (SCETD) approach for assessing the future changes of temperature extremes over Yangtze River Basin;Journal of Cleaner Production;2024-09

2. Toward a Learnable Climate Model in the Artificial Intelligence Era;Advances in Atmospheric Sciences;2024-04-13

3. Neural network-based climate index: Advancing rainfall prediction in EI Niño contexts;Atmospheric Research;2024-04

4. Deep Learning for Seasonal Prediction of Summer Precipitation Levels in Eastern China;Earth and Space Science;2023-11

5. A New Hybrid Machine Learning Model for Short-Term Climate Prediction by Performing Classification Prediction and Regression Prediction Simultaneously;Journal of Meteorological Research;2022-12