Seasonal Prediction of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River Valley: Comparison of Machine Learning and Climate Model Predictions

Seasonal Prediction of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River Valley: Comparison of Machine Learning and Climate Model Predictions

The middle and lower reaches of the Yangtze River valley (YRV), which are among the most densely populated regions in China, are subject to frequent flooding. In this study, the predictor importance analysis model was used to sort and select predictors, and five methods (multiple linear regression (...

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Bibliographic Details
Main Authors: Chentao He, Jiangfeng Wei, Yuanyuan Song, Jing-Jia Luo
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Water
Subjects:
Yangtze River valley
seasonal prediction
random forest
machine learning
Online Access:https://www.mdpi.com/2073-4441/13/22/3294

Internet

https://www.mdpi.com/2073-4441/13/22/3294

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