Multi-Space Seasonal Precipitation Prediction Model Applied to the Source Region of the Yangtze River, China

Multi-Space Seasonal Precipitation Prediction Model Applied to the Source Region of the Yangtze River, China

This paper developed a multi-space prediction model for seasonal precipitation using a high-resolution grid dataset (0.5° × 0.5°) together with climate indices. The model is based on principal component analyses (PCA) and artificial neural networks (ANN). Trend analyses sh...

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Bibliographic Details
Main Authors: Yiheng Du, Ronny Berndtsson, Dong An, Linus Zhang, Feifei Yuan, Cintia Bertacchi Uvo, Zhenchun Hao
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Water
Subjects:
grid dataset
precipitation prediction
climate indices
pca-ann
the source region of the yangtze river
Online Access:https://www.mdpi.com/2073-4441/11/12/2440

Internet

https://www.mdpi.com/2073-4441/11/12/2440

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