Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA-Reference-Cited by-同舟云学术

Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA

Published:2022-10-08 Issue:2 Volume:71 Page:905-925
ISSN:1895-7455
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Liu Jin,Ren Kun^ORCID,Ming Tingzhen,Qu Jihong,Guo Wenxian,Li Haohao

Funder

the Open Research Fund of Key Laboratory of the Pearl River Estuary Regulation and Protection of Ministry of Water Resources

Key Science and Technology Project of China National Tobacco Corporation Henan Branch

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Link

https://link.springer.com/content/pdf/10.1007/s11600-022-00928-y.pdf

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