Publikation:
Investigating regional source and sink patterns of Alpine CO2 and CH4 concentrations based on a back-trajectory receptor model

dc.contributor.authorGiemsa, Esther
dc.contributor.authorJacobeit, Jucundus
dc.contributor.authorRies, Ludwig
dc.date.issued2019
dc.description.abstractThe main purpose of this paper is to contribute to the improvement in the present knowledge concerning regional carbon dioxide (CO2) and methane (CH4) exchange as an essential step towards reducing the uncertainties along with bottom-up estimations of their global budget by identifying the characteristic spatial and temporal scales of the regional greenhouse gas fluxes. To this end, we propose a stepwise statistical top-down methodology for examining the relationship between synoptic-scale atmospheric transport patterns and mole fractions of the climate gases to finally receive a characterisation of the sampling sites with regard to the key processes driving the CO2 or CH4 concentration levels. Quelle: https://link.springer.com/en
dc.format.extent1 Onlineressource (24 Seiten)
dc.format.extent4,58 MB
dc.format.mediumonline resource
dc.identifier.doihttps://doi.org/10.60810/openumwelt-2125
dc.identifier.urihttps://openumwelt.de/handle/123456789/4820
dc.language.isoeng
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectKohlendioxidgehalt
dc.titleInvestigating regional source and sink patterns of Alpine CO2 and CH4 concentrations based on a back-trajectory receptor model
dc.title.alternativeInvestigating regional source and sink patterns of Alpine CO2 and CH4 concentrations based on a back-trajectory receptor model
dc.typeWissenschaftlicher Artikel
dspace.entity.typePublication
local.bibliographicCitation.journalTitleEnvironmental Sciences Europe
local.bibliographicCitation.originalDOI10.1186/s12302-019-0233-x
local.bibliographicCitation.volume31 (2019), Heft 1
local.collectionAufsätze
relation.isAuthorOfPublication648318e1-2475-4ddd-90a4-0efbf6992e33
relation.isAuthorOfPublication.latestForDiscovery648318e1-2475-4ddd-90a4-0efbf6992e33

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