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

Daniel Gilford


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{
  "description": "<p>This code supports the publication of Gilford et al. accepted in JGR-Earth Surface in September 2020: &quot;Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?&quot; Included in this release are:</p>\n\n<ul>\n\t<li>Ice-sheet model ensembles from PSU3Dice developed by Rob DeConto in Fall 2018 (also archived at <a href=\"https://zenodo.org/record/3478486\">https://zenodo.org/record/3478486</a>)</li>\n\t<li>Code developing, training, validating, and sampling an ice-sheet model emulator mimicking these ensembles</li>\n\t<li>Mathematical definitions of specified LIG constraints, and their use in Bayesian calibration of the emulator</li>\n\t<li>Reproduction of each figure in the main manuscript and supplemental information</li>\n\t<li>A versatile visualization notebook that may be used examine how improved LIG constraints would inform future projections of sea-level rise</li>\n\t<li>Project README, LICENSE, and citations</li>\n</ul>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Rutgers University", 
      "@type": "Person", 
      "name": "Daniel Gilford"
    }
  ], 
  "hasPart": [
    {
      "@id": "https://zenodo.org/record/3478486", 
      "@type": "CreativeWork"
    }
  ], 
  "codeRepository": "https://github.com/dgilford/gilford20_ligais/tree/v1.0", 
  "citation": [
    {
      "@id": "https://www.nature.com/articles/nature08686", 
      "@type": "CreativeWork"
    }, 
    {
      "@id": "https://www.nature.com/articles/s41586-019-0901-4", 
      "@type": "CreativeWork"
    }, 
    {
      "@id": "https://www.nature.com/articles/nature17145", 
      "@type": "CreativeWork"
    }
  ], 
  "datePublished": "2020-09-29", 
  "url": "https://zenodo.org/record/4058832", 
  "version": "v1.0", 
  "keywords": [
    "Sea-level rise", 
    "climate change", 
    "Antarctic ice-sheet", 
    "last interglacial", 
    "machine learning", 
    "climate modeling"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4058832", 
  "@id": "https://doi.org/10.5281/zenodo.4058832", 
  "@type": "SoftwareSourceCode", 
  "name": "dgilford/gilford20_ligais: Publication Release: Code Supporting Gilford et al. (2020, JGR-Earth Surface)"
}
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