Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change fun...
Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53
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Katlenburg-Lindau: Copernicus GmbH
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Language
English
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Katlenburg-Lindau: Copernicus GmbH
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Contents
Using climate-optimized flight trajectories is one essential measure to reduce aviation's climate impact. Detailed knowledge of temporal and spatial climate sensitivity for aviation emissions in the atmosphere is required to realize such a climate mitigation measure. The algorithmic Climate Change Functions (aCCFs) represent the basis for such purp...
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Full title
Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53
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TN_cdi_doaj_primary_oai_doaj_org_article_1108b57dd31c47c09b8039dccce8a44a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1108b57dd31c47c09b8039dccce8a44a
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ISSN
1991-9603,1991-959X,1991-962X
E-ISSN
1991-9603,1991-962X
DOI
10.5194/gmd-16-3313-2023