Choice of observation type affects Bayesian calibration of Greenland Ice Sheet model simulations
Choice of observation type affects Bayesian calibration of Greenland Ice Sheet model simulations
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Publisher
Katlenburg-Lindau: Copernicus GmbH
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Language
English
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Katlenburg-Lindau: Copernicus GmbH
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Contents
Determining reliable probability distributions for ice sheet mass change over the coming century is critical to refining uncertainties in sea-level rise projections. Bayesian calibration, a method for constraining projection uncertainty using observations, has been previously applied to ice sheet projections but the impact of the chosen observation...
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Full title
Choice of observation type affects Bayesian calibration of Greenland Ice Sheet model simulations
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TN_cdi_doaj_primary_oai_doaj_org_article_3648478c95db400b97048fbbc5542690
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3648478c95db400b97048fbbc5542690
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ISSN
1994-0424,1994-0416
E-ISSN
1994-0424,1994-0416
DOI
10.5194/tc-17-4661-2023