Log in to save to my catalogue

A Generalised Additive Model and Deep Learning Method for Cross-Validating the North Atlantic Oscill...

A Generalised Additive Model and Deep Learning Method for Cross-Validating the North Atlantic Oscill...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_024ed29651524a4bb7ddca3a018cfeff

A Generalised Additive Model and Deep Learning Method for Cross-Validating the North Atlantic Oscillation Index

About this item

Full title

A Generalised Additive Model and Deep Learning Method for Cross-Validating the North Atlantic Oscillation Index

Publisher

Basel: MDPI AG

Journal title

Atmosphere, 2024-08, Vol.15 (8), p.987

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study introduces an innovative analytical methodology for examining the interconnections among the atmosphere, ocean, and society. The primary area of interest pertains to the North Atlantic Oscillation (NAO), a notable phenomenon characterised by daily to decadal fluctuations in atmospheric conditions over the Northern Hemisphere. The NAO has...

Alternative Titles

Full title

A Generalised Additive Model and Deep Learning Method for Cross-Validating the North Atlantic Oscillation Index

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_024ed29651524a4bb7ddca3a018cfeff

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_024ed29651524a4bb7ddca3a018cfeff

Other Identifiers

ISSN

2073-4433

E-ISSN

2073-4433

DOI

10.3390/atmos15080987

How to access this item