A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime

dc.contributor.author	Goswami, Bedartha
dc.date.accessioned	2025-02-12T12:22:58Z
dc.date.available	2025-02-12T12:22:58Z
dc.date.issued	2024-12-04
dc.identifier.uri	http://hdl.handle.net/10900/161953
dc.language.iso	en	de_DE
dc.publisher	arXiv	de_DE
dc.relation.uri	https://doi.org/10.48550/arXiv.2412.03743	de_DE
dc.subject.ddc	004	de_DE
dc.title	A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime	de_DE
dc.type	Preprint	de_DE
utue.personen.roh	Schlör, Jakob
utue.personen.roh	Newman, Matthew
utue.personen.roh	Thuemmel, Jannik
utue.personen.roh	Capotondi, Antonietta
utue.personen.roh	Goswami, Bedartha