Narrowing Uncertainties of Climate Projections using Data-driven Methods: the AMOC Case Study - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2023

Narrowing Uncertainties of Climate Projections using Data-driven Methods: the AMOC Case Study

Domains

Ocean, Atmosphere
Fichier principal
Vignette du fichier
presentation_sapporo_2023_08_31.pdf (3.08 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Pierre Tandeo  : Connect in order to contact the contributor

https://imt-atlantique.hal.science/hal-04193133

Submitted on : Monday, September 4, 2023-3:45:21 PM

Last modification on : Monday, December 2, 2024-2:48:12 PM

Download

Dates and versions

hal-04193133 , version 1 (04-09-2023)

Licence

Attribution

Identifiers

  • HAL Id : hal-04193133 , version 1

Cite

Pierre Tandeo, Pierre Le Bras, Florian Sévellec, Pierre Ailliot, Juan Ruiz. Narrowing Uncertainties of Climate Projections using Data-driven Methods: the AMOC Case Study. NHM 2023: 6th International Workshop on Nonhydrostatic Models, Aug 2023, Sapporo, Japan. pp.1-13. ⟨hal-04193133⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

IRD INSU UNIV-BREST CNRS INRIA IUEM INSMI LAB-STICC_UBO LMBA UBS ENIB LAB-STICC CHL INRIA2 LOPS UNIV-RENNES IMT-ATLANTIQUE IBNM LAB-STICC_OSE LAB-STICC_IAOCEAN INSTITUT-MINES-TELECOM
53 View
47 Download

Share

More