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Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

Hu, Feichi / Yang, Qinli / Yang, Junran / Luo, Zhengming / Shao, Junming / Wang, Guoqing

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Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

Hu, Feichi / Yang, Qinli / Yang, Junran / Luo, Zhengming / Shao, Junming / Wang, Guoqing

Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

Hu, Feichi / Yang, Qinli / Yang, Junran / Luo, Zhengming / Shao, Junming / Wang, Guoqing

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Titel:

Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin

Weitere Titelangaben:

Journal of Hydrology: Regional Studies

Beteiligte:

Hu, Feichi (Autor:in) / Yang, Qinli (Autor:in) / Yang, Junran (Autor:in) / Luo, Zhengming (Autor:in) / Shao, Junming (Autor:in) / Wang, Guoqing (Autor:in)

Erschienen in:

Journal of Hydrology: Regional Studies ; 51

Erscheinungsdatum:

01.02.2024

ISSN:

2214-5818

DOI:

https://doi.org/10.1016/j.ejrh.2023.101652

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

http://creativecommons.org/licenses/by-nc-nd/4.0/

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