A Hybrid LSTM and CNN deep learning framework for modeling runoff variability in western United States watersheds using multisource hydrological data
Crossref DOI link: https://doi.org/10.1007/s42452-026-09058-2
Published Online: 2026-07-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Liu, Yun
Text and Data Mining valid from 2026-07-02
Accepted Manuscript valid from 2026-07-02
Article History
Received: 13 April 2026
Accepted: 17 June 2026
First Online: 2 July 2026
Declarations
:
: Not applicable.
: The authors declare no competing interests.