Presentation 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.5533639</identifier> <creators> <creator> <creatorName>Dueben, Peter D.</creatorName> <givenName>Peter D.</givenName> <familyName>Dueben</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4610-3326</nameIdentifier> <affiliation>ECMWF</affiliation> </creator> </creators> <titles> <title>Challenges when preparing machine learning tools for use in operational weather predictions</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <dates> <date dateType="Issued">2021-09-28</date> </dates> <resourceType resourceTypeGeneral="Text">Presentation</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5533639</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5533638</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/esiwace</relatedIdentifier> </relatedIdentifiers> <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>Talk at&nbsp;2nd Workshop on Knowledge Guided Machine Learning (KGML2021)</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/823988/">823988</awardNumber> <awardTitle>Excellence in Simulation of Weather and Climate in Europe, Phase 2</awardTitle> </fundingReference> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/955513/">955513</awardNumber> <awardTitle>MAchinE Learning for Scalable meTeoROlogy and cliMate</awardTitle> </fundingReference> </fundingReferences> </resource>
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