The Development of a Hybrid Wavelet-ARIMA-LSTM Model for Precipitation Amounts and Drought Analysis

The Development of a Hybrid Wavelet-ARIMA-LSTM Model for Precipitation Amounts and Drought Analysis

Investigation of quantitative predictions of precipitation amounts and forecasts of drought events are conducive to facilitating early drought warnings. However, there has been limited research into or modern statistical analyses of precipitation and drought over Northeast China, one of the most imp...

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Bibliographic Details
Main Authors: Xianghua Wu, Jieqin Zhou, Huaying Yu, Duanyang Liu, Kang Xie, Yiqi Chen, Jingbiao Hu, Haiyan Sun, Fengjuan Xing
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Atmosphere
Subjects:
arima
lstm
discrete wavelet
china z-index
grey prediction models
drought prediction
Online Access:https://www.mdpi.com/2073-4433/12/1/74

Internet

https://www.mdpi.com/2073-4433/12/1/74

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