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SMT-HCSD: stochastic multi-target hard-constrained spatial deep learning framework and architecture for perfect prognosis CMIP6 daily temperature downscaling

Crossref DOI link: https://doi.org/10.1007/s00477-026-03303-1

Published Online: 2026-06-22

Published Print: 2026-07

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

Authors

Bekele, Wondesen Teshome https://orcid.org/0000-0002-3827-8919
D’Oria, Marco https://orcid.org/0000-0002-5154-7052
Funding

Funding for this research was provided by:

Università degli Studi di Parma
License Information

Text and Data Mining valid from 2026-06-22

Version of Record valid from 2026-06-22
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Article History

Received: 21 January 2026

Accepted: 12 June 2026

First Online: 22 June 2026

Declarations

:

: The authors declare that they have no conflict of interest.

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