dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)

This code supports the publication of Gilford et al. accepted in JGR-Earth Surface in September 2020: "Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?" Included in this release are: Ice-sheet model ensembles from PSU3Dice developed by...

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Bibliographic Details
Main Author: Gilford, Daniel
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2020
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.4058831
https://zenodo.org/record/4058831
id ftdatacite:10.5281/zenodo.4058831
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4058831 2023-05-15T13:31:12+02:00 dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface) Gilford, Daniel 2020 https://dx.doi.org/10.5281/zenodo.4058831 https://zenodo.org/record/4058831 unknown Zenodo https://github.com/dgilford/gilford20_ligais/tree/v1.0 https://zenodo.org/record/3478486 https://www.essoar.org/doi/10.1002/essoar.10501078.3 https://www.nature.com/articles/nature08686 https://www.nature.com/articles/s41586-019-0901-4 https://www.nature.com/articles/nature17145 https://github.com/dgilford/gilford20_ligais/tree/v1.0 https://zenodo.org/record/3478486 https://www.essoar.org/doi/10.1002/essoar.10501078.3 https://www.nature.com/articles/nature08686 https://www.nature.com/articles/s41586-019-0901-4 https://www.nature.com/articles/nature17145 https://dx.doi.org/10.5281/zenodo.4058832 Open Access info:eu-repo/semantics/openAccess Sea-level rise climate change Antarctic ice-sheet last interglacial machine learning climate modeling Software SoftwareSourceCode article 2020 ftdatacite https://doi.org/10.5281/zenodo.4058831 https://doi.org/10.5281/zenodo.4058832 2021-11-05T12:55:41Z This code supports the publication of Gilford et al. accepted in JGR-Earth Surface in September 2020: "Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?" Included in this release are: Ice-sheet model ensembles from PSU3Dice developed by Rob DeConto in Fall 2018 (also archived at https://zenodo.org/record/3478486) Code developing, training, validating, and sampling an ice-sheet model emulator mimicking these ensembles Mathematical definitions of specified LIG constraints, and their use in Bayesian calibration of the emulator Reproduction of each figure in the main manuscript and supplemental information A versatile visualization notebook that may be used examine how improved LIG constraints would inform future projections of sea-level rise Project README, LICENSE, and citations : Funding provided by: NSF Grant ICER-1663807, NASA Grant 80NSSC17K0698, NSF Grant OCE-1702587, & European Research Council, grant agreement n. 802414 Article in Journal/Newspaper Antarc* Antarctic Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Sea-level rise
climate change
Antarctic ice-sheet
last interglacial
machine learning
climate modeling
spellingShingle Sea-level rise
climate change
Antarctic ice-sheet
last interglacial
machine learning
climate modeling
Gilford, Daniel
dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)
topic_facet Sea-level rise
climate change
Antarctic ice-sheet
last interglacial
machine learning
climate modeling
description This code supports the publication of Gilford et al. accepted in JGR-Earth Surface in September 2020: "Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?" Included in this release are: Ice-sheet model ensembles from PSU3Dice developed by Rob DeConto in Fall 2018 (also archived at https://zenodo.org/record/3478486) Code developing, training, validating, and sampling an ice-sheet model emulator mimicking these ensembles Mathematical definitions of specified LIG constraints, and their use in Bayesian calibration of the emulator Reproduction of each figure in the main manuscript and supplemental information A versatile visualization notebook that may be used examine how improved LIG constraints would inform future projections of sea-level rise Project README, LICENSE, and citations : Funding provided by: NSF Grant ICER-1663807, NASA Grant 80NSSC17K0698, NSF Grant OCE-1702587, & European Research Council, grant agreement n. 802414
format Article in Journal/Newspaper
author Gilford, Daniel
author_facet Gilford, Daniel
author_sort Gilford, Daniel
title dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)
title_short dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)
title_full dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)
title_fullStr dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)
title_full_unstemmed dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)
title_sort dgilford/gilford20_ligais: publication release: code supporting gilford et al. (2020, jgr-earth surface)
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.4058831
https://zenodo.org/record/4058831
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_relation https://github.com/dgilford/gilford20_ligais/tree/v1.0
https://zenodo.org/record/3478486
https://www.essoar.org/doi/10.1002/essoar.10501078.3
https://www.nature.com/articles/nature08686
https://www.nature.com/articles/s41586-019-0901-4
https://www.nature.com/articles/nature17145
https://github.com/dgilford/gilford20_ligais/tree/v1.0
https://zenodo.org/record/3478486
https://www.essoar.org/doi/10.1002/essoar.10501078.3
https://www.nature.com/articles/nature08686
https://www.nature.com/articles/s41586-019-0901-4
https://www.nature.com/articles/nature17145
https://dx.doi.org/10.5281/zenodo.4058832
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.4058831
https://doi.org/10.5281/zenodo.4058832
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