Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China

Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China

Abstract Projecting precipitation changes is essential for researchers to understand climate change impacts on hydrological cycle. This study projected future precipitation over the Hanjiang River Basin (HRB) based on the multimodel ensemble (ME) of six global climate models from Phase 6 of the Coup...

Full description

Bibliographic Details
Main Authors: Dong Wang, Jiahong Liu, Qinghua Luan, Weiwei Shao, Xiaoran Fu, Hao Wang, Yanling Gu
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Meteorological Applications
Subjects:
general circulation models
Hanjiang River Basin
machine learning algorithms
multimodel ensemble
precipitation
projection
Online Access:https://doi.org/10.1002/met.2144

Internet

https://doi.org/10.1002/met.2144

Similar Items