Forecasting of monthly precipitation based on ensemble empirical mode decomposition and Bayesian model averaging

Forecasting of monthly precipitation based on ensemble empirical mode decomposition and Bayesian model averaging

Precipitation prediction is crucial for water resources management and agricultural production. We deployed a hybrid model based on ensemble empirical mode decomposition (EEMD) and Bayesian model averaging (BMA), called EEMD-BMA, for monthly precipitation series data at Kunming station from January...

Full description

Bibliographic Details
Main Authors: Shangxue Luo, Meiling Zhang, Yamei Nie, Xiaonan Jia, Ruihong Cao, Meiting Zhu, Xiaojuan Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Earth Science
Subjects:
precipitation prediction
EEMD
LSTM
BMA
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.926067/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2022.926067/full

Similar Items