Crossmark

Investigating the contribution of decomposition techniques to machine learning accuracy in SPEI-based drought forecasting for multiple Köppen-Geiger climates

Crossref DOI link: https://doi.org/10.1007/s11600-025-01773-5

Published Online: 2025-12-23

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

Authors

Anık, Emirhan Mustafa https://orcid.org/0000-0001-9342-2242
Toğrul, Burçe https://orcid.org/0009-0000-1463-8804
Akbaş, Abdullah https://orcid.org/0000-0003-2024-0565
Kankal, Murat https://orcid.org/0000-0003-0897-4742
Funding

Funding for this research was provided by:

Bursa Uludağ Üniversitesi (FPDD-2025-2307)
License Information

Text and Data Mining valid from 2025-12-23

Version of Record valid from 2025-12-23
More Information

Article History

Received: 12 September 2025

Accepted: 8 December 2025

First Online: 23 December 2025

Declarations

:

: The authors declare no conflict of interest.

Document is current

Any future updates will be listed below