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Adjoint Modeling: A Brief Introduction

Fukumori, Ichiro


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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Adjoints allow efficient computation of sensitivity between input and output. While popularly known for their use in estimation and optimization, adjoint models are increasingly used to investigate the workings of complex systems. Here, we describe what an adjoint model is, how it is useful, and how it is derived.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Jet Propulsion Laboratory, California Institute of Technology", 
      "@id": "https://orcid.org/0000-0002-0882-6400", 
      "@type": "Person", 
      "name": "Fukumori, Ichiro"
    }
  ], 
  "headline": "Adjoint Modeling: A Brief Introduction", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2022-02-14", 
  "url": "https://zenodo.org/record/6080585", 
  "version": "2", 
  "keywords": [
    "adjoint", 
    "ECCO", 
    "numerical modeling", 
    "estimation", 
    "optimization", 
    "oceanography"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.6080585", 
  "@id": "https://doi.org/10.5281/zenodo.6080585", 
  "@type": "ScholarlyArticle", 
  "name": "Adjoint Modeling: A Brief Introduction"
}
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