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Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information

Crossref DOI link: https://doi.org/10.1007/s00477-024-02731-1

Published Online: 2024-04-27

Published Print: 2024-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Guo, Qiucen

Zhao, Xuehua

Zhao, Yuhang

Ren, Zhijing

Wang, Huifang

Cai, Wenjun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52279020)

National Natural Science Foundation of China (52279020)

National Natural Science Foundation of China (52279020)

National Natural Science Foundation of China (52279020)

National Natural Science Foundation of China (52279020)

National Natural Science Foundation of China (52279020)

Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051002027)

Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051002027)

Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051002027)

Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051002027)

Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051002027)

Special Fund for Science and Technology Innovation Teams of Shanxi Province (202204051002027)

Shanxi Province Science Foundation for Youths (202103021223113)

Shanxi Province Science Foundation for Youths (202103021223113)

Shanxi Province Science Foundation for Youths (202103021223113)

Shanxi Province Science Foundation for Youths (202103021223113)

Shanxi Province Science Foundation for Youths (202103021223113)
License Information

Text and Data Mining valid from 2024-04-27

Version of Record valid from 2024-04-27
More Information

Article History

Accepted: 17 April 2024

First Online: 27 April 2024

Declarations

:

: The authors declare no competing interests.

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