000902280 001__ 902280
000902280 005__ 20240712101023.0
000902280 0247_ $$2doi$$a10.5194/acp-21-9151-2021
000902280 0247_ $$2ISSN$$a1680-7316
000902280 0247_ $$2ISSN$$a1680-7324
000902280 0247_ $$2Handle$$a2128/28930
000902280 0247_ $$2altmetric$$aaltmetric:107716817
000902280 0247_ $$2WOS$$aWOS:000663965000002
000902280 037__ $$aFZJ-2021-04143
000902280 082__ $$a550
000902280 1001_ $$00000-0001-5516-7180$$aFrömming, Christine$$b0$$eCorresponding author
000902280 245__ $$aInfluence of weather situation on non-CO<sub>2</sub> aviation climate effects: the REACT4C climate change functions
000902280 260__ $$aKatlenburg-Lindau$$bEGU$$c2021
000902280 3367_ $$2DRIVER$$aarticle
000902280 3367_ $$2DataCite$$aOutput Types/Journal article
000902280 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1636380282_21912
000902280 3367_ $$2BibTeX$$aARTICLE
000902280 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000902280 3367_ $$00$$2EndNote$$aJournal Article
000902280 520__ $$aEmissions of aviation include CO2, H2O, NOx, sulfur oxides, and soot. Many studies have investigated the annual mean climate impact of aviation emissions. While CO2 has a long atmospheric residence time and is almost uniformly distributed in the atmosphere, non-CO2 gases and particles and their products have short atmospheric residence times and are heterogeneously distributed. The climate impact of non-CO2 aviation emissions is known to vary with different meteorological background situations. The aim of this study is to systematically investigate the influence of characteristic weather situations on aviation climate effects over the North Atlantic region, to identify the most sensitive areas, and to potentially detect systematic weather-related similarities. If aircraft were re-routed to avoid climate-sensitive regions, the overall aviation climate impact might be reduced. Hence, the sensitivity of the atmosphere to local emissions provides a basis for the assessment of weather-related, climate-optimized flight trajectory planning. To determine the climate change contribution of an individual emission as a function of location, time, and weather situation, the radiative impact of local emissions of NOx and H2O to changes in O3, CH4, H2O and contrail cirrus was computed by means of the ECHAM5/MESSy Atmospheric Chemistry model. From this, 4-dimensional climate change functions (CCFs) were derived. Typical weather situations in the North Atlantic region were considered for winter and summer. Weather-related differences in O3, CH4, H2O, and contrail cirrus CCFs were investigated. The following characteristics were identified: enhanced climate impact of contrail cirrus was detected for emissions in areas with large-scale lifting, whereas low climate impact of contrail cirrus was found in the area of the jet stream. Northwards of 60∘ N, contrails usually cause climate warming in winter, independent of the weather situation. NOx emissions cause a high positive climate impact if released in the area of the jet stream or in high-pressure ridges, which induces a south- and downward transport of the emitted species, whereas NOx emissions at, or transported towards, high latitudes cause low or even negative climate impact. Independent of the weather situation, total NOx effects show a minimum at ∼250 hPa, increasing towards higher and lower altitudes, with generally higher positive impact in summer than in winter. H2O emissions induce a high climate impact when released in regions with lower tropopause height, whereas low climate impact occurs for emissions in areas with higher tropopause height. H2O CCFs generally increase with height and are larger in winter than in summer. The CCFs of all individual species can be combined, facilitating the assessment of total climate impact of aircraft trajectories considering CO2 and spatially and temporally varying non-CO2 effects. Furthermore, they allow for the optimization of aircraft trajectories with reduced overall climate impact. This also facilitates a fair evaluation of trade-offs between individual species. In most regions, NOx and contrail cirrus dominate the sensitivity to local aviation emissions. The findings of this study recommend considering weather-related differences for flight trajectory optimization in favour of reducing total climate impact.
000902280 536__ $$0G:(DE-HGF)POF4-2111$$a2111 - Air Quality (POF4-211)$$cPOF4-211$$fPOF IV$$x0
000902280 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000902280 7001_ $$00000-0002-8012-6783$$aGrewe, Volker$$b1
000902280 7001_ $$00000-0003-3167-203X$$aBrinkop, Sabine$$b2
000902280 7001_ $$0P:(DE-Juel1)188765$$aJöckel, Patrick$$b3
000902280 7001_ $$00000-0002-3812-3837$$aHaslerud, Amund S.$$b4
000902280 7001_ $$0P:(DE-Juel1)173788$$aRosanka, Simon$$b5
000902280 7001_ $$0P:(DE-HGF)0$$avan Manen, Jesper$$b6
000902280 7001_ $$00000-0002-5114-2418$$aMatthes, Sigrun$$b7
000902280 773__ $$0PERI:(DE-600)2069847-1$$a10.5194/acp-21-9151-2021$$gVol. 21, no. 11, p. 9151 - 9172$$n11$$p9151 - 9172$$tAtmospheric chemistry and physics$$v21$$x1680-7324$$y2021
000902280 8564_ $$uhttps://juser.fz-juelich.de/record/902280/files/acp-21-9151-2021.pdf$$yOpenAccess
000902280 909CO $$ooai:juser.fz-juelich.de:902280$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000902280 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)188765$$aForschungszentrum Jülich$$b3$$kFZJ
000902280 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173788$$aForschungszentrum Jülich$$b5$$kFZJ
000902280 9131_ $$0G:(DE-HGF)POF4-211$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2111$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vDie Atmosphäre im globalen Wandel$$x0
000902280 9141_ $$y2021
000902280 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-02
000902280 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000902280 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bATMOS CHEM PHYS : 2019$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000902280 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bATMOS CHEM PHYS : 2019$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-02-02
000902280 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-02-02
000902280 9201_ $$0I:(DE-Juel1)IEK-8-20101013$$kIEK-8$$lTroposphäre$$x0
000902280 9801_ $$aFullTexts
000902280 980__ $$ajournal
000902280 980__ $$aVDB
000902280 980__ $$aUNRESTRICTED
000902280 980__ $$aI:(DE-Juel1)IEK-8-20101013
000902280 981__ $$aI:(DE-Juel1)ICE-3-20101013