Technical note Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.6080585</identifier> <creators> <creator> <creatorName>Fukumori, Ichiro</creatorName> <givenName>Ichiro</givenName> <familyName>Fukumori</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0882-6400</nameIdentifier> <affiliation>Jet Propulsion Laboratory, California Institute of Technology</affiliation> </creator> </creators> <titles> <title>Adjoint Modeling: A Brief Introduction</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2022</publicationYear> <subjects> <subject>adjoint</subject> <subject>ECCO</subject> <subject>numerical modeling</subject> <subject>estimation</subject> <subject>optimization</subject> <subject>oceanography</subject> </subjects> <dates> <date dateType="Issued">2022-02-14</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Text">Technical note</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/6080585</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5794446</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecco</relatedIdentifier> </relatedIdentifiers> <version>2</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><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></description> </descriptions> </resource>
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