Field
Value
Language
dc.contributor.author
Tan, Ivy
datacite.creator.affiliationIdentifier
https://ror.org/01pxwe438
en_US
datacite.creator.affiliation
McGill University
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-4203-4770
en_US
dc.contributor.author
Barahona, D.
datacite.creator.affiliationIdentifier
en_US
datacite.creator.affiliation
NASA Goddard Space Flight Center
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Coopman, Quentin
datacite.creator.affiliationIdentifier
https://ror.org/01pxwe438
en_US
datacite.creator.affiliation
McGill University
en_US
datacite.creator.nameIdentifier
en_US
dc.date.accessioned
2022-01-26T22:10:30Z
dc.date.available
2022-01-26T22:10:30Z
dc.date.issued
2022-01-26
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/98509428-8a4f-423e-8bfb-d37da4d37477
dc.identifier.uri
https://doi.org/10.20383/102.0493
dc.description
Climate model simulation data focusing on temperature, immersion freezing, and cloud feedbacks as they relate to Arctic amplification.
The GEOS data used in this study were provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. GEOS-5 Model. https://gmao.gsfc.nasa.gov/GEOS_systems/
Please see the following publication for additional information.
Tan, I., Barahona, D., & Coopman, Q. (2022). Potential link between ice nucleation and climate model spread in Arctic amplification. Geophysical Research Letters. https://doi.org/10.1029/2021GL097373
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
Arctic cloud feedbacks
en_US
dc.subject
immersion freezing
en_US
dc.subject
cloud-phase feedback
en_US
dc.subject
Arctic amplification
en_US
dc.subject
GEOS-5
en_US
dc.subject
ice-nucleating particles
en_US
dc.title
Data for "Potential link between ice nucleation and climate model spread in Arctic amplification"
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/published/publication_488/
datacite.publicationyear
2022
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
https://doi.org/10.1029/2021GL097373
datacite.fundingReference.funderName
National Aeronautics and Space Administration (NASA)
en_US
datacite.fundingReference.awardNumber
80NSSC18K1599
en_US
datacite.fundingReference.awardTitle
en_US
frdr.crdc.code
RDF1050112
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Atmospheric sciences
en_US
frdr.crdc.field_en
Climate modelling
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Sciences de l'atmosphère
fr_CA
frdr.crdc.field_fr
Modélisation climatique
fr_CA