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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 fun...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1108b57dd31c47c09b8039dccce8a44a

Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53

About this item

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

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Geoscientific Model Development, 2023-06, Vol.16 (11), p.3313-3334

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

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...

Alternative Titles

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

Identifiers

Primary Identifiers

Record Identifier

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

Other Identifiers

ISSN

1991-9603,1991-959X,1991-962X

E-ISSN

1991-9603,1991-962X

DOI

10.5194/gmd-16-3313-2023

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