A comprehensive review of machine learning and deep learning approaches for rainfall forecasting: current progress, challenges, and future directions
Crossref DOI link: https://doi.org/10.1007/s00704-026-06051-y
Published Online: 2026-02-28
Published Print: 2026-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Senjaliya, Jignesh
Vaghasia, Vibhisha
Shah, Sanjay M.
Text and Data Mining valid from 2026-02-28
Version of Record valid from 2026-02-28
Article History
Received: 24 September 2025
Accepted: 17 January 2026
First Online: 28 February 2026
Declarations
:
: The authors declare no competing interests.