Articles | Volume 14, issue 4
https://doi.org/10.5194/esd-14-835-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-14-835-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Aug 2023
Research article |
| 29 Aug 2023
| 29 Aug 2023
The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs)
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Johannes Hendricks
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Sabine Brinkop
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Short summary
Short summary
Aerosol-cloud interactions remain a large source of uncertainty in assessing aviation’s climate impact. We develop, evaluate and present AIRTRAC v2.0 within the EMAC modeling framework, which enables tracking of aviation-emitted SO2 and H2SO4 as they are chemically transformed into sulfate aerosols and transported in the atmosphere. The development allows the identification of atmospheric regions with elevated potential for aerosol–cloud interactions due to sulfur emissions from aircraft.
Yann Cohen, Didier Hauglustaine, Zosia Staniaszek, Marianne Tronstad Lund, Irene Dedoussi, Sigrun Matthes, Flávio Quadros, Mattia Righi, Agnieszka Skowron, and Robin Thor
EGUsphere, https://doi.org/10.5194/egusphere-2025-4273, https://doi.org/10.5194/egusphere-2025-4273, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Non-CO2 effects from aviation on climate show large uncertainties. Among them, this study investigates the present-day impact of nitrogen oxides (through ozone and methane) and aerosols produced by aviation on atmospheric composition and therefore on climate, using a global-model intercomparison. Our results show a good consistency between the models for gaseous chemistry, but they also highlight the need for more accurate comparisons and further model development for aerosol parameterization.
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EGUsphere, https://doi.org/10.5194/egusphere-2025-3913, https://doi.org/10.5194/egusphere-2025-3913, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
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Ice nucleating particles strongly influence cirrus cloud properties but remain difficult to measure at cirrus temperatures. By combining EMAC model simulations with in situ observations from the CIRRUS-HL campaign, we investigate aerosol-cirrus interactions across latitudes. While the model generally agrees with observations, it overestimates ice crystal number concentrations detrained from convection, which we correct applying a new radius-temperature parametrization from the observations.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-454, https://doi.org/10.5194/essd-2025-454, 2025
Preprint under review for ESSD
Short summary
Short summary
The ELK emission inventory provides global emission data for the three transport sectors (land transport, shipping and aviation) and transport-related emissions for the energy sector (oil refineries). It features a detailed resolution of the emissions in different subsectors, transport-specific quantities like non-exhaust emissions, and aviation-specific parameters. The ELK dataset is complemented with uncertainty scores and is validated against other well-established global inventories.
Mattia Righi, Baptiste Testa, Christof G. Beer, Johannes Hendricks, and Zamin A. Kanji
EGUsphere, https://doi.org/10.5194/egusphere-2025-2589, https://doi.org/10.5194/egusphere-2025-2589, 2025
Short summary
Short summary
The effective radiative forcing due to the effect of aviation soot on natural cirrus clouds is likely very small, thus confirming most previous studies, but for the first time with the support of laboratory measurements specifically targeting aviation soot and its ice nucleation ability.
Monica Sharma, Mattia Righi, Johannes Hendricks, Anja Schmidt, Daniel Sauer, and Volker Grewe
EGUsphere, https://doi.org/10.5194/egusphere-2025-1137, https://doi.org/10.5194/egusphere-2025-1137, 2025
Short summary
Short summary
A plume model is developed to simulate aerosol microphysics in a dispersing aircraft plume, including interactions between ice crystals and aerosols in vortex regime. Compared to an instantaneous dispersion approach, the plume approach estimates 15 % lower aviation aerosol number concentrations, due to more efficient coagulation at plume scale. The model is sensitive to background conditions and initialization parameters, such as ice crystal number concentration and fuel sulfur content.
Jingmin Li, Mattia Righi, Johannes Hendricks, Christof G. Beer, Ulrike Burkhardt, and Anja Schmidt
Atmos. Chem. Phys., 24, 12727–12747, https://doi.org/10.5194/acp-24-12727-2024, https://doi.org/10.5194/acp-24-12727-2024, 2024
Short summary
Short summary
Aiming to understand underlying patterns and trends in aerosols, we characterize the spatial patterns and long-term evolution of lower tropospheric aerosols by clustering multiple aerosol properties from preindustrial times to the year 2050 under three Shared
Socioeconomic Pathway scenarios. The results provide a clear and condensed picture of the spatial extent and distribution of aerosols for different time periods and emission scenarios.
Socioeconomic Pathway scenarios. The results provide a clear and condensed picture of the spatial extent and distribution of aerosols for different time periods and emission scenarios.
Mariano Mertens, Sabine Brinkop, Phoebe Graf, Volker Grewe, Johannes Hendricks, Patrick Jöckel, Anna Lanteri, Sigrun Matthes, Vanessa S. Rieger, Mattia Righi, and Robin N. Thor
Atmos. Chem. Phys., 24, 12079–12106, https://doi.org/10.5194/acp-24-12079-2024, https://doi.org/10.5194/acp-24-12079-2024, 2024
Short summary
Short summary
We quantified the contributions of land transport, shipping, and aviation emissions to tropospheric ozone; its radiative forcing; and the reductions of the methane lifetime using chemistry-climate model simulations. The contributions were analysed for the conditions of 2015 and for three projections for the year 2050. The results highlight the challenges of mitigating ozone formed by emissions of the transport sector, caused by the non-linearitiy of the ozone chemistry and the long lifetime.
Christof G. Beer, Johannes Hendricks, and Mattia Righi
Atmos. Chem. Phys., 24, 3217–3240, https://doi.org/10.5194/acp-24-3217-2024, https://doi.org/10.5194/acp-24-3217-2024, 2024
Short summary
Short summary
Ice-nucleating particles (INPs) have important influences on cirrus clouds and the climate system; however, the understanding of their global impacts is still uncertain. We perform numerical simulations with a global aerosol–climate model to analyse INP-induced cirrus changes and the resulting climate impacts. We evaluate various sources of uncertainties, e.g. the ice-nucleating ability of INPs and the role of model dynamics, and provide a new estimate for the global INP–cirrus effect.
Robin N. Thor, Mariano Mertens, Sigrun Matthes, Mattia Righi, Johannes Hendricks, Sabine Brinkop, Phoebe Graf, Volker Grewe, Patrick Jöckel, and Steven Smith
Geosci. Model Dev., 16, 1459–1466, https://doi.org/10.5194/gmd-16-1459-2023, https://doi.org/10.5194/gmd-16-1459-2023, 2023
Short summary
Short summary
We report on an inconsistency in the latitudinal distribution of aviation emissions between two versions of a data product which is widely used by researchers. From the available documentation, we do not expect such an inconsistency. We run a chemistry–climate model to compute the effect of the inconsistency in emissions on atmospheric chemistry and radiation and find that the radiative forcing associated with aviation ozone is 7.6 % higher when using the less recent version of the data.
Christof G. Beer, Johannes Hendricks, and Mattia Righi
Atmos. Chem. Phys., 22, 15887–15907, https://doi.org/10.5194/acp-22-15887-2022, https://doi.org/10.5194/acp-22-15887-2022, 2022
Short summary
Short summary
Ice-nucleating particles (INPs) have important influences on cirrus clouds and the climate system; however, their global atmospheric distribution in the cirrus regime is still very uncertain. We present a global climatology of INPs under cirrus conditions derived from model simulations, considering the mineral dust, soot, crystalline ammonium sulfate, and glassy organics INP types. The comparison of respective INP concentrations indicates the large importance of ammonium sulfate particles.
Matthias Nützel, Sabine Brinkop, Martin Dameris, Hella Garny, Patrick Jöckel, Laura L. Pan, and Mijeong Park
Atmos. Chem. Phys., 22, 15659–15683, https://doi.org/10.5194/acp-22-15659-2022, https://doi.org/10.5194/acp-22-15659-2022, 2022
Short summary
Short summary
During the Asian summer monsoon season, a large high-pressure system is present at levels close to the tropopause above Asia. We analyse how air masses are transported from surface levels to this high-pressure system, which shows distinct features from the surrounding air masses. To this end, we employ multiannual data from two complementary models that allow us to analyse the climatology as well as the interannual and intraseasonal variability of these transport pathways.
Simon Kirschler, Christiane Voigt, Bruce Anderson, Ramon Campos Braga, Gao Chen, Andrea F. Corral, Ewan Crosbie, Hossein Dadashazar, Richard A. Ferrare, Valerian Hahn, Johannes Hendricks, Stefan Kaufmann, Richard Moore, Mira L. Pöhlker, Claire Robinson, Amy J. Scarino, Dominik Schollmayer, Michael A. Shook, K. Lee Thornhill, Edward Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 22, 8299–8319, https://doi.org/10.5194/acp-22-8299-2022, https://doi.org/10.5194/acp-22-8299-2022, 2022
Short summary
Short summary
In this study we show that the vertical velocity dominantly impacts the cloud droplet number concentration (NC) of low-level clouds over the western North Atlantic in the winter and summer season, while the cloud condensation nuclei concentration, aerosol size distribution and chemical composition impact NC within a season. The observational data presented in this study can evaluate and improve the representation of aerosol–cloud interactions for a wide range of conditions.
Jingmin Li, Johannes Hendricks, Mattia Righi, and Christof G. Beer
Geosci. Model Dev., 15, 509–533, https://doi.org/10.5194/gmd-15-509-2022, https://doi.org/10.5194/gmd-15-509-2022, 2022
Short summary
Short summary
The growing complexity of global aerosol models results in a large number of parameters that describe the aerosol number, size, and composition. This makes the analysis, evaluation, and interpretation of the model results a challenge. To overcome this difficulty, we apply a machine learning classification method to identify clusters of specific aerosol types in global aerosol simulations. Our results demonstrate the spatial distributions and characteristics of these identified aerosol clusters.
Mattia Righi, Johannes Hendricks, and Christof Gerhard Beer
Atmos. Chem. Phys., 21, 17267–17289, https://doi.org/10.5194/acp-21-17267-2021, https://doi.org/10.5194/acp-21-17267-2021, 2021
Short summary
Short summary
A global climate model is applied to simulate the impact of aviation soot on natural cirrus clouds. A large number of numerical experiments are performed to analyse how the quantification of the resulting climate impact is affected by known uncertainties. These concern the ability of aviation soot to nucleate ice and the role of model dynamics. Our results show that both aspects are important for the quantification of this effect and that discrepancies among different model studies still exist.
Christine Frömming, Volker Grewe, Sabine Brinkop, Patrick Jöckel, Amund S. Haslerud, Simon Rosanka, Jesper van Manen, and Sigrun Matthes
Atmos. Chem. Phys., 21, 9151–9172, https://doi.org/10.5194/acp-21-9151-2021, https://doi.org/10.5194/acp-21-9151-2021, 2021
Short summary
Short summary
The influence of weather situations on non-CO2 aviation climate impact is investigated to identify systematic weather-related sensitivities. If aircraft avoid the most sensitive areas, climate impact might be reduced. Enhanced significance is found for emission in relation to high-pressure systems, jet stream, polar night, and tropopause altitude. The results represent a comprehensive data set for studies aiming at weather-dependent flight trajectory optimization to reduce total climate impact.
Katja Weigel, Lisa Bock, Bettina K. Gier, Axel Lauer, Mattia Righi, Manuel Schlund, Kemisola Adeniyi, Bouwe Andela, Enrico Arnone, Peter Berg, Louis-Philippe Caron, Irene Cionni, Susanna Corti, Niels Drost, Alasdair Hunter, Llorenç Lledó, Christian Wilhelm Mohr, Aytaç Paçal, Núria Pérez-Zanón, Valeriu Predoi, Marit Sandstad, Jana Sillmann, Andreas Sterl, Javier Vegas-Regidor, Jost von Hardenberg, and Veronika Eyring
Geosci. Model Dev., 14, 3159–3184, https://doi.org/10.5194/gmd-14-3159-2021, https://doi.org/10.5194/gmd-14-3159-2021, 2021
Short summary
Short summary
This work presents new diagnostics for the Earth System Model Evaluation Tool (ESMValTool) v2.0 on the hydrological cycle, extreme events, impact assessment, regional evaluations, and ensemble member selection. The ESMValTool v2.0 diagnostics are developed by a large community of scientists aiming to facilitate the evaluation and comparison of Earth system models (ESMs) with a focus on the ESMs participating in the Coupled Model Intercomparison Project (CMIP).
Markus Kilian, Sabine Brinkop, and Patrick Jöckel
Atmos. Chem. Phys., 20, 11697–11715, https://doi.org/10.5194/acp-20-11697-2020, https://doi.org/10.5194/acp-20-11697-2020, 2020
Short summary
Short summary
After the volcanic eruption of Mt Pinatubo in 1991, ozone decreased in the tropics and increased in the midlatitudes and polar regions for 1 year. The change in the ozone column is solely a result of the volcanic heating, followed by an ozone decrease in the higher latitudes. This is caused by the volcanic aerosol, which changes the heterogeneous chemistry and thus the catalytic ozone loss cycles. Vertical transport of water vapour is enhanced by volcanic heating and increases methane.
Cited articles
Bauer, N., Calvin, K., Emmerling, J., Fricko, O., Fujimori, S., Hilaire, J.,
Eom, J., Krey, V., Kriegler, E., Mouratiadou, I., de Boer, H. S., van den
Berg, M., Carrara, S., Daioglou, V., Drouet, L., Edmonds, J. E., Gernaat, D.,
Havlik, P., Johnson, N., Klein, D., Kyle, P., Marangoni, G., Masui, T.,
Pietzcker, R. C., Strubegger, M., Wise, M., Riahi, K., and van Vuuren, D. P.:
Shared Socio-Economic Pathways of the Energy Sector – Quantifying
the Narratives, Global Environ. Chang., 42, 316–330,
https://doi.org/10.1016/j.gloenvcha.2016.07.006, 2017. a
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris,
D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A.-L., Dufresne,
J.-L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J. M.,
Lohmann, U., Malavelle, F., Mauritsen, T., McCoy, D. T., Myhre, G.,
Mülmenstädt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y.,
Schulz, M., Schwartz, S. E., Sourdeval, O., Storelvmo, T., Toll, V., Winker,
D., and Stevens, B.: Bounding Global Aerosol Radiative Forcing of Climate
Change, Rev. Geophys., 58, e2019RG000660, https://doi.org/10.1029/2019rg000660, 2020. a
Bilsback, K. R., Kerry, D., Croft, B., Ford, B., Jathar, S. H., Carter, E.,
Martin, R. V., and Pierce, J. R.: Beyond SOx reductions from shipping:
assessing the impact of NOx and carbonaceous-particle controls on human
health and climate, Environ. Res. Lett., 15, 124046,
https://doi.org/10.1088/1748-9326/abc718, 2020. a
Birmili, W., Alaviippola, B., Hinneburg, D., Knoth, O., Tuch, T., Borken-Kleefeld, J., and Schacht, A.: Dispersion of traffic-related exhaust particles near the Berlin urban motorway – estimation of fleet emission factors, Atmos. Chem. Phys., 9, 2355–2374, https://doi.org/10.5194/acp-9-2355-2009, 2009. a, b
Bock, L. and Burkhardt, U.: The temporal evolution of a long-lived contrail
cirrus cluster: Simulations with a global climate model, J. Geophys. Res.-Atmos., 121, 3548–3565, https://doi.org/10.1002/2015jd024475, 2016. a
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T.,
DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne, S.,
Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M.,
Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K.,
Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U.,
Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender,
C. S.: Bounding the role of black carbon in the climate system: A scientific
assessment, J. Geophys. Res.-Atmos., 118, 5380–5552,
https://doi.org/10.1002/jgrd.50171, 2013. a
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh,
S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, in:
Climate Change 2013: The Physical Science Basis. Contribution of Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M.,
Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.,
571–658, Cambridge University Press, https://doi.org/10.1017/cbo9781107415324.016,
2013. a, b
Buhaug, O., Corbett, J. J., Endresen, O., Eyring, V., Faber, J., Hanayama, S.,
Lee, D. S., Lee, D., Lindstad, H., Markowska, A. Z., Mjelde, A., Nelissen,
D., Nilsen, J., Pålsson, C., Winebrake, J. J., Wu, W.-Q., and Yoshida,
K.: Second IMO Greenhouse Gas Study 2009, Tech. rep., International Maritime
Organization, London, UK, 2009. a, b, c, d
Creutzig, F., Jochem, P., Edelenbosch, O. Y., Mattauch, L., v. Vuuren, D. P.,
McCollum, D., and Minx, J.: Transport: A roadblock to climate change
mitigation?, Science, 350, 911–912, https://doi.org/10.1126/science.aac8033,
2015. a
Dahlmann, K., Grewe, V., Frömming, C., and Burkhardt, U.: Can we reliably
assess climate mitigation options for air traffic scenarios despite large
uncertainties in atmospheric processes?, Transport Res. D-Tr. E.,
46, 40–55, https://doi.org/10.1016/j.trd.2016.03.006, 2016. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi,
S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P.,
Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C.,
Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B.,
Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M.,
Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park,
B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and
Vitart, F.: The ERA-Interim reanalysis: configuration and performance of
the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011. a
Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A., Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom, Atmos. Chem. Phys., 6, 4321–4344, https://doi.org/10.5194/acp-6-4321-2006, 2006. a
Dietmüller, S., Ponater, M., and Sausen, R.: Interactive ozone induces a
negative feedback in CO2-driven climate change simulations, J.
Geophys. Res.-Atmos., 119, 1796–1805, https://doi.org/10.1002/2013jd020575, 2014. a
Dietmüller, S., Jöckel, P., Tost, H., Kunze, M., Gellhorn, C., Brinkop, S., Frömming, C., Ponater, M., Steil, B., Lauer, A., and Hendricks, J.: A new radiation infrastructure for the Modular Earth Submodel System (MESSy, based on version 2.51), Geosci. Model Dev., 9, 2209–2222, https://doi.org/10.5194/gmd-9-2209-2016, 2016. a
Esmeijer, K., den Elzen, M., and van Soest, H.: Analysing international
shipping and aviation emission projections, Tech. Rep. PBL publication
number: 4076, PBL Netherlands Environmental Assessment Agency, The Hague,
2020. a
Eyring, V., Isaksen, I. S., Berntsen, T., Collins, W. J., Corbett, J. J.,
Endresen, O., Grainger, R. G., Moldanova, J., Schlager, H., and Stevenson,
D. S.: Transport impacts on atmosphere and climate: Shipping, Atmos.
Environ., 44, 4735–4771, https://doi.org/10.1016/j.atmosenv.2009.04.059, 2010. a
Feng, L., Smith, S. J., Braun, C., Crippa, M., Gidden, M. J., Hoesly, R., Klimont, Z., van Marle, M., van den Berg, M., and van der Werf, G. R.: The generation of gridded emissions data for CMIP6, Geosci. Model Dev., 13, 461–482, https://doi.org/10.5194/gmd-13-461-2020, 2020. a, b, c, d
Fiore, A. M., Naik, V., Spracklen, D. V., Steiner, A., Unger, N., Prather, M.,
Bergmann, D., Cameron-Smith, P. J., Cionni, I., Collins, W. J., DalsØren,
S., Eyring, V., Folberth, G. A., Ginoux, P., Horowitz, L. W., Josse, B.,
Lamarque, J.-F., MacKenzie, I. A., Nagashima, T., O'Connor, F. M., Righi, M.,
Rumbold, S. T., Shindell, D. T., Skeie, R. B., Sudo, K., Szopa, S., Takemura,
T., and Zeng, G.: Global air quality and climate, Chem. Soc. Rev., 41, 6663–6683,
https://doi.org/10.1039/c2cs35095e, 2012. a
Fricko, O., Havlik, P., Rogelj, J., Klimont, Z., Gusti, M., Johnson, N., Kolp,
P., Strubegger, M., Valin, H., Amann, M., Ermolieva, T., Forsell, N.,
Herrero, M., Heyes, C., Kindermann, G., Krey, V., McCollum, D. L.,
Obersteiner, M., Pachauri, S., Rao, S., Schmid, E., Schoepp, W., and Riahi,
K.: The marker quantification of the Shared Socioeconomic Pathway 2: A
middle-of-the-road scenario for the 21st century, Global Environ. Chang., 42,
251–267, https://doi.org/10.1016/j.gloenvcha.2016.06.004, 2017. a, b, c
Fuglestvedt, J., Berntsen, T., Eyring, V., Isaksen, I., Lee, D. S., and Sausen,
R.: Shipping Emissions: From Cooling to Warming of Climate–and Reducing
Impacts on Health, Environ. Sci. Technol., 43, 9057–9062,
https://doi.org/10.1021/es901944r,
2009. a
Fujimori, S., Hasegawa, T., Masui, T., Takahashi, K., Herran, D. S., Dai, H.,
Hijioka, Y., and Kainuma, M.: SSP3: AIM implementation of Shared
Socioeconomic Pathways, Global Environ. Chang., 42, 268–283,
https://doi.org/10.1016/j.gloenvcha.2016.06.009, 2017. a, b
Gettelman, A. and Chen, C.: The climate impact of aviation aerosols, Geophys.
Res. Lett., 40, 2785–2789, https://doi.org/10.1002/grl.50520, 2013. a, b
Gidden, M. J., Riahi, K., Smith, S. J., Fujimori, S., Luderer, G., Kriegler, E., van Vuuren, D. P., van den Berg, M., Feng, L., Klein, D., Calvin, K., Doelman, J. C., Frank, S., Fricko, O., Harmsen, M., Hasegawa, T., Havlik, P., Hilaire, J., Hoesly, R., Horing, J., Popp, A., Stehfest, E., and Takahashi, K.: Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century, Geosci. Model Dev., 12, 1443–1475, https://doi.org/10.5194/gmd-12-1443-2019, 2019. a, b, c, d, e
Girod, B., van Vuuren, D. P., Grahn, M., Kitous, A., Kim, S. H., and Kyle, P.:
Climate impact of transportation A model comparison, Climatic Change, 118,
595–608, https://doi.org/10.1007/s10584-012-0663-6, 2013. a
Grewe, V.: A generalized tagging method, Geosci. Model Dev., 6, 247–253, https://doi.org/10.5194/gmd-6-247-2013, 2013. a
Grewe, V. and Stenke, A.: AirClim: an efficient tool for climate evaluation of aircraft technology, Atmos. Chem. Phys., 8, 4621–4639, https://doi.org/10.5194/acp-8-4621-2008, 2008. a
Grigoratos, T. and Martini, G.: Brake wear particle emissions: a review,
Environ. Sci. Pollut. R., 22, 2491–2504, https://doi.org/10.1007/s11356-014-3696-8, 2014. a
Hendricks, J., Kärcher, B., Lohmann, U., and Ponater, M.: Do aircraft black
carbon emissions affect cirrus clouds on the global scale?, Geophys. Res.
Lett., 32, L12814, https://doi.org/10.1029/2005gl022740, 2005. a
Hendricks, J., Kärcher, B., and Lohmann, U.: Effects of ice nuclei on
cirrus clouds in a global climate model, J. Geophys. Res.-Atmos., 116, D18206,
https://doi.org/10.1029/2010jd015302, 2011. a
Hendricks, J., Righi, M., Dahlmann, K., Gottschaldt, K.-D., Grewe, V., Ponater,
M., Sausen, R., Heinrichs, D., Winkler, C., Wolfermann, A., Kampffmeyer, T.,
Friedrich, R., Klötzke, M., and Kugler, U.: Quantifying the climate
impact of emissions from land-based transport in Germany, Transport Res. D-Tr. E., 65, 825–845, https://doi.org/10.1016/j.trd.2017.06.003, 2018. a
Jöckel, P., Kerkweg, A., Pozzer, A., Sander, R., Tost, H., Riede, H., Baumgaertner, A., Gromov, S., and Kern, B.: Development cycle 2 of the Modular Earth Submodel System (MESSy2), Geosci. Model Dev., 3, 717–752, https://doi.org/10.5194/gmd-3-717-2010, 2010. a, b
Kaiser, J. C., Hendricks, J., Righi, M., Riemer, N., Zaveri, R. A., Metzger, S., and Aquila, V.: The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test, Geosci. Model Dev., 7, 1137–1157, https://doi.org/10.5194/gmd-7-1137-2014, 2014. a, b
Kaiser, J. C., Hendricks, J., Righi, M., Jöckel, P., Tost, H., Kandler, K., Weinzierl, B., Sauer, D., Heimerl, K., Schwarz, J. P., Perring, A. E., and Popp, T.: Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation, Geosci. Model Dev., 12, 541–579, https://doi.org/10.5194/gmd-12-541-2019, 2019. a, b, c, d, e, f, g, h, i, j, k
Kapadia, Z. Z., Spracklen, D. V., Arnold, S. R., Borman, D. J., Mann, G. W., Pringle, K. J., Monks, S. A., Reddington, C. L., Benduhn, F., Rap, A., Scott, C. E., Butt, E. W., and Yoshioka, M.: Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521–10541, https://doi.org/10.5194/acp-16-10521-2016, 2016. a, b
Kärcher, B., Möhler, O., DeMott, P. J., Pechtl, S., and Yu, F.: Insights into the role of soot aerosols in cirrus cloud formation, Atmos. Chem. Phys., 7, 4203–4227, https://doi.org/10.5194/acp-7-4203-2007, 2007. a
Kontovas, C. A.: Integration of air quality and climate change policies in
shipping: The case of sulphur emissions regulation, Mar. Pol., 113, 103815,
https://doi.org/10.1016/j.marpol.2020.103815, 2020. a
Kuebbeler, M., Lohmann, U., Hendricks, J., and Kärcher, B.: Dust ice nuclei effects on cirrus clouds, Atmos. Chem. Phys., 14, 3027–3046, https://doi.org/10.5194/acp-14-3027-2014, 2014. a, b
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K., and van Vuuren, D. P.: Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application, Atmos. Chem. Phys., 10, 7017–7039, https://doi.org/10.5194/acp-10-7017-2010, 2010. a, b
Lamb, W. F., Wiedmann, T., Pongratz, J., Andrew, R., Crippa, M., Olivier, J.
G. J., Wiedenhofer, D., Mattioli, G., Khourdajie, A. A., House, J., Pachauri,
S., Figueroa, M., Saheb, Y., Slade, R., Hubacek, K., Sun, L., Ribeiro, S. K.,
Khennas, S., de la Rue du Can, S., Chapungu, L., Davis, S. J., Bashmakov, I.,
Dai, H., Dhakal, S., Tan, X., Geng, Y., Gu, B., and Minx, J.: A review of
trends and drivers of greenhouse gas emissions by sector from 1990 to 2018,
Environ. Res. Lett., 16, 073005, https://doi.org/10.1088/1748-9326/abee4e, 2021. a, b
Le Quéré, C., Jackson, R. B., Jones, M. W., Smith, A. J. P.,
Abernethy, S., Andrew, R. M., De-Gol, A. J., Willis, D. R., Shan, Y.,
Canadell, J. G., Friedlingstein, P., Creutzig, F., and Peters, G. P.:
Temporary reduction in daily global CO2 emissions during the COVID-19
forced confinement, Nat. Clim. Change, 10, 647–653, https://doi.org/10.1038/s41558-020-0797-x,
2020. a
Lee, D., Fahey, D., Skowron, A., Allen, M., Burkhardt, U., Chen, Q., Doherty,
S., Freeman, S., Forster, P., Fuglestvedt, J., Gettelman, A., León,
R. D., Lim, L., Lund, M., Millar, R., Owen, B., Penner, J., Pitari, G.,
Prather, M., Sausen, R., and Wilcox, L.: The contribution of global aviation
to anthropogenic climate forcing for 2000 to 2018, Atmos. Environ., 244,
117834, https://doi.org/10.1016/j.atmosenv.2020.117834, 2021. a
Liu, Z., Ciais, P., Deng, Z., Lei, R., Davis, S. J., Feng, S., Zheng, B., Cui,
D., Dou, X., Zhu, B., Guo, R., Ke, P., Sun, T., Lu, C., He, P., Wang, Y.,
Yue, X., Wang, Y., Lei, Y., Zhou, H., Cai, Z., Wu, Y., Guo, R., Han, T., Xue,
J., Boucher, O., Boucher, E., Chevallier, F., Tanaka, K., Wei, Y., Zhong, H.,
Kang, C., Zhang, N., Chen, B., Xi, F., Liu, M., Bréon, F.-M., Lu, Y.,
Zhang, Q., Guan, D., Gong, P., Kammen, D. M., He, K., and Schellnhuber,
H. J.: Near-real-time monitoring of global CO2 emissions reveals the
effects of the COVID-19 pandemic, Nat. Commun., 11, 5172,
https://doi.org/10.1038/s41467-020-18922-7, 2020. a
Lund, M. T., Berntsen, T. K., and Fuglestvedt, J. S.: Climate Impacts of
Short-Lived Climate Forcers versus CO2 from Biodiesel: A Case of the
EU on-Road Sector, Environ. Sci. Technol., 48, 14445–14454,
https://doi.org/10.1021/es505308g, 2014a. a
Lund, M. T., Berntsen, T. K., Heyes, C., Klimont, Z., and Samset, B. H.: Global
and regional climate impacts of black carbon and co-emitted species from the
on-road diesel sector, Atmos. Environ., 98, 50–58,
https://doi.org/10.1016/j.atmosenv.2014.08.033,
2014b. a
Lund, M. T., Myhre, G., and Samset, B. H.: Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways, Atmos. Chem. Phys., 19, 13827–13839, https://doi.org/10.5194/acp-19-13827-2019, 2019. a
Lund, M. T., Aamaas, B., Stjern, C. W., Klimont, Z., Berntsen, T. K., and Samset, B. H.: A continued role of short-lived climate forcers under the Shared Socioeconomic Pathways, Earth Syst. Dynam., 11, 977–993, https://doi.org/10.5194/esd-11-977-2020, 2020. a
Matthes, S., Lim, L., Burkhardt, U., Dahlmann, K., Dietmüller, S., Grewe, V.,
Haslerud, A. S., Hendricks, J., Owen, B., Pitari, G., Righi, M., and Skowron,
A.: Mitigation of Non-CO2 Aviation's Climate Impact by Changing Cruise
Altitudes, Aerospace, 8, 36, https://doi.org/10.3390/aerospace8020036, 2021. a
McKinlay, C. J., Turnock, S. R., and Hudson, D. A.: Route to zero emission
shipping: Hydrogen, ammonia or methanol?, Int. J. Hydrogen. Energ., 46,
28282–28297, https://doi.org/10.1016/j.ijhydene.2021.06.066,
2021. a
Mertens, M., Grewe, V., Rieger, V. S., and Jöckel, P.: Revisiting the contribution of land transport and shipping emissions to tropospheric ozone, Atmos. Chem. Phys., 18, 5567–5588, https://doi.org/10.5194/acp-18-5567-2018, 2018. a, b, c
Moore, R. H., Thornhill, K. L., Weinzierl, B., Sauer, D., D'Ascoli, E., Kim,
J., Lichtenstern, M., Scheibe, M., Beaton, B., Beyersdorf, A. J., Barrick,
J., Bulzan, D., Corr, C. A., Crosbie, E., Jurkat, T., Martin, R., Riddick,
D., Shook, M., Slover, G., Voigt, C., White, R., Winstead, E., Yasky, R.,
Ziemba, L. D., Brown, A., Schlager, H., and Anderson, B. E.: Biofuel blending
reduces particle emissions from aircraft engines at cruise conditions,
Nature, 543, 411–415, https://doi.org/10.1038/nature21420, 2017. a, b
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van
Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A.,
Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer,
R. J., Thomson, A. M., Weyant, J. P., and Wilbanks, T. J.: The next
generation of scenarios for climate change research and assessment, Nature,
463, 747–756, https://doi.org/10.1038/nature08823, 2010. a
O'Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K.,
Rothman, D. S., van Ruijven, B. J., van Vuuren, D. P., Birkmann, J., Kok, K.,
Levy, M., and Solecki, W.: The roads ahead: Narratives for shared
socioeconomic pathways describing world futures in the 21st century, Global
Environ. Chang., 42, 169–180, https://doi.org/10.1016/j.gloenvcha.2015.01.004, 2017. a, b
Penner, J. E., Zhou, C., Garnier, A., and Mitchell, D. L.: Anthropogenic
Aerosol Indirect Effects in Cirrus Clouds, J. Geophys. Res.-Atmos., 123,
https://doi.org/10.1029/2018jd029204, 2018. a
Petzold, A., Döpelheuer, A., Brock, C. A., and Schröder, F.: In situ
observations and model calculations of black carbon emission by aircraft at
cruise altitude, J. Geophys. Res.-Atmos., 104, 22171–22181,
https://doi.org/10.1029/1999jd900460, 1999. a, b
Petzold, A., Gysel, M., Vancassel, X., Hitzenberger, R., Puxbaum, H., Vrochticky, S., Weingartner, E., Baltensperger, U., and Mirabel, P.: On the effects of organic matter and sulphur-containing compounds on the CCN activation of combustion particles, Atmos. Chem. Phys., 5, 3187–3203, https://doi.org/10.5194/acp-5-3187-2005, 2005. a
Petzold, A., Hasselbach, J., Lauer, P., Baumann, R., Franke, K., Gurk, C., Schlager, H., and Weingartner, E.: Experimental studies on particle emissions from cruising ship, their characteristic properties, transformation and atmospheric lifetime in the marine boundary layer, Atmos. Chem. Phys., 8, 2387–2403, https://doi.org/10.5194/acp-8-2387-2008, 2008. a, b, c, d
Petzold, A., Lauer, P., Fritsche, U., Hasselbach, J., Lichtenstern, M.,
Schlager, H., and Fleischer, F.: Operation of Marine Diesel Engines on
Biogenic Fuels: Modification of Emissions and Resulting Climate Effects,
Environ. Sci. Technol., 45, 10394–10400, https://doi.org/10.1021/es2021439,
2011. a
Pietzcker, R. C., Longden, T., Chen, W., Fu, S., Kriegler, E., Kyle, P., and
Luderer, G.: Long-term transport energy demand and climate policy:
Alternative visions on transport decarbonization in energy-economy models,
Energy, 64, 95–108, https://doi.org/10.1016/j.energy.2013.08.059, 2014. a
Popa, M., Segers, A., van der Gon, H. D., Krol, M., Visschedijk, A., Schaap,
M., and Röckmann, T.: Impact of a future H2 transportation on atmospheric
pollution in Europe, Atmos. Environ., 113, 208–222,
https://doi.org/10.1016/j.atmosenv.2015.03.022, 2015. a
Quaas, J., Jia, H., Smith, C., Albright, A. L., Aas, W., Bellouin, N., Boucher, O., Doutriaux-Boucher, M., Forster, P. M., Grosvenor, D., Jenkins, S., Klimont, Z., Loeb, N. G., Ma, X., Naik, V., Paulot, F., Stier, P., Wild, M., Myhre, G., and Schulz, M.: Robust evidence for reversal of the trend in aerosol effective climate forcing, Atmos. Chem. Phys., 22, 12221–12239, https://doi.org/10.5194/acp-22-12221-2022, 2022. a
Ramaswamy, V., Collins, W., Haywood, J., Lean, J., Mahowald, N., Myhre, G.,
Naik, V., Shine, K. P., Soden, B., Stenchikov, G., and Storelvmo, T.:
Radiative Forcing of Climate: The Historical Evolution of the Radiative
Forcing Concept, the Forcing Agents and their Quantification, and
Applications, Meteorol. Monogr., 59, 14.1–14.101,
https://doi.org/10.1175/amsmonographs-d-19-0001.1, 2019. a
Rieger, V. S. and Grewe, V.: TransClim (v1.0): a chemistry–climate response model for assessing the effect of mitigation strategies for road traffic on ozone, Geosci. Model Dev., 15, 5883–5903, https://doi.org/10.5194/gmd-15-5883-2022, 2022. a
Rieger, V. S., Mertens, M., and Grewe, V.: An advanced method of contributing emissions to short-lived chemical species (OH and HO2): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53), Geosci. Model Dev., 11, 2049–2066, https://doi.org/10.5194/gmd-11-2049-2018, 2018. a
Righi, M.: Model simulation data used in “The global impact of the transport
sectors on the atmospheric aerosol and the resulting climate effects under
the Shared Socioeconomic Pathways (SSPs)” (Righi et al., Earth Syst. Dynam.,
2023), Zenodo [data set], https://doi.org/10.5281/zenodo.8134336, 2023. a
Righi, M., Klinger, C., Eyring, V., Hendricks, J., Lauer, A., and Petzold, A.:
Climate Impact of Biofuels in Shipping: Global Model Studies of the Aerosol
Indirect Effect, Environ. Sci. Technol., 45, 3519–3525,
https://doi.org/10.1021/es1036157,
2011. a
Righi, M., Hendricks, J., and Sausen, R.: The global impact of the transport sectors on atmospheric aerosol: simulations for year 2000 emissions, Atmos. Chem. Phys., 13, 9939–9970, https://doi.org/10.5194/acp-13-9939-2013, 2013. a, b, c, d
Righi, M., Hendricks, J., and Sausen, R.: The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation, Atmos. Chem. Phys., 16, 4481–4495, https://doi.org/10.5194/acp-16-4481-2016, 2016. a, b, c, d
Righi, M., Hendricks, J., Lohmann, U., Beer, C. G., Hahn, V., Heinold, B., Heller, R., Krämer, M., Ponater, M., Rolf, C., Tegen, I., and Voigt, C.: Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model, Geosci. Model Dev., 13, 1635–1661, https://doi.org/10.5194/gmd-13-1635-2020, 2020. a, b, c, d, e
Righi, M., Hendricks, J., and Beer, C. G.: Exploring the uncertainties in the aviation soot–cirrus effect, Atmos. Chem. Phys., 21, 17267–17289, https://doi.org/10.5194/acp-21-17267-2021, 2021. a, b
Roeckner, E., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S., Kornblueh,
L., Manzini, E., Schlese, U., and Schulzweida, U.: Sensitivity of Simulated
Climate to Horizontal and Vertical Resolution in the ECHAM5 Atmosphere Model,
J. Climate, 19, 3771–3791, https://doi.org/10.1175/jcli3824.1, 2006. a
Sims, R., Schaeffer, R., Creutzig, F., Cruz-Nùñez, X., D’Agosto, M.,
Dimitriu, D., Meza, M. J. F., Fulton, L., Kobayashi, S., Lah, O., McKinnon,
A., Newman, P., Ouyang, M., Schauer, J. J., Sperling, D., and Tiwari, G.:
Transport, in: Climate Change 2014: Mitigation of Climate Change.
Contribution of Working Group III to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Edenhofer, O.,
Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler,
A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, B., Savolainen, J.,
Schlömer, S., von Stechow, C., Zwickel, T., and Minx, J., 599–670,
Cambridge University Press, https://doi.org/10.1017/cbo9781107415324.007, 2014. a
Smith, T. W. P., Jalkanen, J. P., Anderson, B. A., Corbett, J. J., Faber, J.,
Hanayama, S., O'Keeffe, E., Parker, S., Johansson, L., Aldous, L., Raucci,
C., Traut, M., Ettinger, S., Nelissen, D., Lee, D. S., Ng, S., Agrawal, A.,
Winebrake, J. J., Hoen, M., Chesworth, S., and Pandey, A.: Third IMO
Greenhouse Gas Study 2014, Tech. rep., International Maritime Organization,
London, UK, 2014. a
Sofiev, M., Winebrake, J. J., Johansson, L., Carr, E. W., Prank, M., Soares,
J., Vira, J., Kouznetsov, R., Jalkanen, J.-P., and Corbett, J. J.: Cleaner
fuels for ships provide public health benefits with climate tradeoffs, Nat.
Commun., 9, 406, https://doi.org/10.1038/s41467-017-02774-9, 2018. a
Stephenson, S. R., Wang, W., Zender, C. S., Wang, H., Davis, S. J., and Rasch,
P. J.: Climatic Responses to Future Trans-Arctic Shipping, Geophys. Res.
Lett., 45, 9898–9908, https://doi.org/10.1029/2018gl078969, 2018. a
Stevenson, D. S., Young, P. J., Naik, V., Lamarque, J.-F., Shindell, D. T., Voulgarakis, A., Skeie, R. B., Dalsoren, S. B., Myhre, G., Berntsen, T. K., Folberth, G. A., Rumbold, S. T., Collins, W. J., MacKenzie, I. A., Doherty, R. M., Zeng, G., van Noije, T. P. C., Strunk, A., Bergmann, D., Cameron-Smith, P., Plummer, D. A., Strode, S. A., Horowitz, L., Lee, Y. H., Szopa, S., Sudo, K., Nagashima, T., Josse, B., Cionni, I., Righi, M., Eyring, V., Conley, A., Bowman, K. W., Wild, O., and Archibald, A.: Tropospheric ozone changes, radiative forcing and attribution to emissions in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), Atmos. Chem. Phys., 13, 3063–3085, https://doi.org/10.5194/acp-13-3063-2013, 2013. a
Timmers, V. R. and Achten, P. A.: Non-exhaust PM emissions from electric
vehicles, Atmos. Environ., 134, 10–17, https://doi.org/10.1016/j.atmosenv.2016.03.017, 2016. a
Tost, H., Jöckel, P., Kerkweg, A., Sander, R., and Lelieveld, J.: Technical note: A new comprehensive SCAVenging submodel for global atmospheric chemistry modelling, Atmos. Chem. Phys., 6, 565–574, https://doi.org/10.5194/acp-6-565-2006, 2006.
a
Unger, N.: Global climate impact of civil aviation for standard and
desulfurized jet fuel, Geophys. Res. Lett., 38, L20803,
https://doi.org/10.1029/2011gl049289, 2011. a
Unger, N., Zhao, Y., and Dang, H.: Mid-21st century chemical forcing of climate
by the civil aviation sector, Geophys. Res. Lett., 40, 641–645,
https://doi.org/10.1002/grl.50161,
2013. a
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard,
K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T.,
Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The
representative concentration pathways: an overview, Climatic Change, 109,
5–31, https://doi.org/10.1007/s10584-011-0148-z, 2011. a, b
van Vuuren, D. P., Kriegler, E., O'Neill, B. C., Ebi, K. L., Riahi, K.,
Carter, T. R., Edmonds, J., Hallegatte, S., Kram, T., Mathur, R., and
Winkler, H.: A new scenario framework for Climate Change Research: scenario
matrix architecture, Climatic Change, 122, 373–386,
https://doi.org/10.1007/s10584-013-0906-1, 2014. a
van Vuuren, D. P., Stehfest, E., Gernaat, D. E., Doelman, J. C., van den Berg,
M., Harmsen, M., de Boer, H. S., Bouwman, L. F., Daioglou, V., Edelenbosch,
O. Y., Girod, B., Kram, T., Lassaletta, L., Lucas, P. L., van Meijl, H.,
Müller, C., van Ruijven, B. J., van der Sluis, S., and Tabeau, A.: Energy,
land-use and greenhouse gas emissions trajectories under a green growth
paradigm, Global Environ. Chang., 42, 237–250,
https://doi.org/10.1016/j.gloenvcha.2016.05.008, 2017. a, b, c
von Schneidemesser, E., Monks, P. S., Allan, J. D., Bruhwiler, L., Forster,
P., Fowler, D., Lauer, A., Morgan, W. T., Paasonen, P., Righi, M.,
Sindelarova, K., and Sutton, M. A.: Chemistry and the Linkages between Air
Quality and Climate Change, Chem. Rev., 115, 3856–3897,
https://doi.org/10.1021/acs.chemrev.5b00089, 2015. a
Wen, Y., Zhang, S., Wu, Y., and Hao, J.: Vehicular ammonia emissions: an underappreciated emission source in densely populated areas, Atmos. Chem. Phys., 23, 3819–3828, https://doi.org/10.5194/acp-23-3819-2023, 2023. a
Wild, O., Fiore, A. M., Shindell, D. T., Doherty, R. M., Collins, W. J., Dentener, F. J., Schultz, M. G., Gong, S., MacKenzie, I. A., Zeng, G., Hess, P., Duncan, B. N., Bergmann, D. J., Szopa, S., Jonson, J. E., Keating, T. J., and Zuber, A.: Modelling future changes in surface ozone: a parameterized approach, Atmos. Chem. Phys., 12, 2037–2054, https://doi.org/10.5194/acp-12-2037-2012, 2012. a
Short summary
A global climate model is applied to quantify the impact of land transport, shipping, and aviation on aerosol and climate. The simulations show that these sectors provide relevant contributions to aerosol concentrations on the global scale and have a significant cooling effect on climate, which partly offsets their CO2 warming. Future projections under different scenarios show how the transport impacts can be related to the underlying storylines, with relevant consequences for policy-making.
A global climate model is applied to quantify the impact of land transport, shipping, and...
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