Articles | Volume 21, issue 23
https://doi.org/10.5194/acp-21-17267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-17267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Nov 2021
Research article |
| 30 Nov 2021
| 30 Nov 2021
Exploring the uncertainties in the aviation soot–cirrus effect
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
Christof Gerhard Beer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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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.
Mattia Righi, Johannes Hendricks, and Sabine Brinkop
Earth Syst. Dynam., 14, 835–859, https://doi.org/10.5194/esd-14-835-2023, https://doi.org/10.5194/esd-14-835-2023, 2023
Short summary
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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.
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
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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
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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
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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
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Geosci. Model Dev., 13, 4287–4303, https://doi.org/10.5194/gmd-13-4287-2020, https://doi.org/10.5194/gmd-13-4287-2020, 2020
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Mineral dust aerosol plays an important role in the climate system. Previously, dust emissions have often been represented in global models by prescribed monthly-mean emission fields representative of a specific year. We now apply an online calculation of wind-driven dust emissions. This results in an improved agreement with observations, due to a better representation of the highly variable dust emissions. Increasing the model resolution led to an additional performance gain.
Cited articles
Barahona, D. and Nenes, A.: Parameterizing the competition between homogeneous and heterogeneous freezing in ice cloud formation – polydisperse ice nuclei, Atmos. Chem. Phys., 9, 5933–5948, https://doi.org/10.5194/acp-9-5933-2009, 2009. a
Barahona, D., Molod, A., and Kalesse, H.: Direct estimation of the global
distribution of vertical velocity within cirrus clouds, Sci. Rep., 7, 1,
https://doi.org/10.1038/s41598-017-07038-6, 2017. a
Beer, C. G., Hendricks, J., Righi, M., Heinold, B., Tegen, I., Groß, S., Sauer, D., Walser, A., and Weinzierl, B.: Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54, Geosci. Model Dev., 13, 4287–4303, https://doi.org/10.5194/gmd-13-4287-2020, 2020. 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, 1, https://doi.org/10.1029/2019rg000660, 2020. a
Bennartz, R. and Rausch, J.: Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations, Atmos. Chem. Phys., 17, 9815–9836, https://doi.org/10.5194/acp-17-9815-2017, 2017. a
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
Burkhardt, U. and Kärcher, B.: Global radiative forcing from contrail
cirrus, Nat. Clim. Change, 1, 54–58, https://doi.org/10.1038/nclimate1068, 2011. a
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A.,
Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre,
L. A., and Pierce, J. R.: Large contribution of natural aerosols to
uncertainty in indirect forcing, Nature, 503, 67–71,
https://doi.org/10.1038/nature12674, 2013. a
Chen, C.-C. and Gettelman, A.: Simulated radiative forcing from contrails and contrail cirrus, Atmos. Chem. Phys., 13, 12525–12536, https://doi.org/10.5194/acp-13-12525-2013, 2013. a
Chen, T., Rossow, W. B., and Zhang, Y.: Radiative Effects of Cloud-Type
Variations, J. Climate, 13, 264–286,
https://doi.org/10.1175/1520-0442(2000)013<0264:reoctv>2.0.co;2, 2000. a, b
Chou, C., Kanji, Z. A., Stetzer, O., Tritscher, T., Chirico, R., Heringa, M. F., Weingartner, E., Prévôt, A. S. H., Baltensperger, U., and Lohmann, U.: Effect of photochemical ageing on the ice nucleation properties of diesel and wood burning particles, Atmos. Chem. Phys., 13, 761–772, https://doi.org/10.5194/acp-13-761-2013, 2013. a
Collins, W. J., Lamarque, J.-F., Schulz, M., Boucher, O., Eyring, V., Hegglin, M. I., Maycock, A., Myhre, G., Prather, M., Shindell, D., and Smith, S. J.: AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6, Geosci. Model Dev., 10, 585–607, https://doi.org/10.5194/gmd-10-585-2017, 2017. a
Crawford, I., Möhler, O., Schnaiter, M., Saathoff, H., Liu, D., McMeeking, G., Linke, C., Flynn, M., Bower, K. N., Connolly, P. J., Gallagher, M. W., and Coe, H.: Studies of propane flame soot acting as heterogeneous ice nuclei in conjunction with single particle soot photometer measurements, Atmos. Chem. Phys., 11, 9549–9561, https://doi.org/10.5194/acp-11-9549-2011, 2011. a
Cziczo, D. J., Froyd, K. D., Hoose, C., Jensen, E. J., Diao, M., Zondlo, M. A.,
Smith, J. B., Twohy, C. H., and Murphy, D. M.: Clarifying the Dominant
Sources and Mechanisms of Cirrus Cloud Formation, Science, 340, 1320–1324,
https://doi.org/10.1126/science.1234145, 2013. a
Dahlmann, K., Koch, A., Linke, F., Lührs, B., Grewe, V., Otten, T., Seider,
D., Gollnick, V., and Schumann, U.: Climate-Compatible Air Transport
System–Climate Impact Mitigation Potential for Actual and Future Aircraft,
Aerospace, 3, 38, https://doi.org/10.3390/aerospace3040038, 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
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
Eyring, V., Righi, M., Lauer, A., Evaldsson, M., Wenzel, S., Jones, C., Anav, A., Andrews, O., Cionni, I., Davin, E. L., Deser, C., Ehbrecht, C., Friedlingstein, P., Gleckler, P., Gottschaldt, K.-D., Hagemann, S., Juckes, M., Kindermann, S., Krasting, J., Kunert, D., Levine, R., Loew, A., Mäkelä, J., Martin, G., Mason, E., Phillips, A. S., Read, S., Rio, C., Roehrig, R., Senftleben, D., Sterl, A., van Ulft, L. H., Walton, J., Wang, S., and Williams, K. D.: ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP, Geosci. Model Dev., 9, 1747–1802, https://doi.org/10.5194/gmd-9-1747-2016, 2016. 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
Forster, P. M., Richardson, T., Maycock, A. C., Smith, C. J., Samset, B. H.,
Myhre, G., Andrews, T., Pincus, R., and Schulz, M.: Recommendations for
diagnosing effective radiative forcing from climate models for CMIP6, J.
Geophys. Res.-Atmos., 121, 12460–12475, https://doi.org/10.1002/2016jd025320, 2016. a
Forster, P. M., Forster, H. I., Evans, M. J., Gidden, M. J., Jones, C. D.,
Keller, C. A., Lamboll, R. D., Quéré, C. L., Rogelj, J., Rosen,
D., Schleussner, C.-F., Richardson, T. B., Smith, C. J., and Turnock, S. T.:
Current and future global climate impacts resulting from COVID-19, Nat. Clim.
Change, 10, 913–919, https://doi.org/10.1038/s41558-020-0883-0, 2020. a
Fuglestvedt, J., Berntsen, T., Myhre, G., Rypdal, K., and Skeie, R. B.: Climate
forcing from the transport sectors, P. Natl. Acad. Sci. USA,
105, 454–458, https://doi.org/10.1073/pnas.0702958104, 2008. a
Gasparini, B. and Lohmann, U.: Why cirrus cloud seeding cannot substantially
cool the planet, J. Geophys. Res.-Atmos., 121, 4877–4893,
https://doi.org/10.1002/2015jd024666, 2016. a, b
Gettelman, A., Chen, C.-C., and Bardeen, C. G.: The climate impact of COVID-19-induced contrail changes, Atmos. Chem. Phys., 21, 9405–9416, https://doi.org/10.5194/acp-21-9405-2021, 2021. a
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
Grewe, V., Dahlmann, K., Flink, J., Frömming, C., Ghosh, R., Gierens, K.,
Heller, R., Hendricks, J., Jöckel, P., Kaufmann, S., Kölker, K.,
Linke, F., Luchkova, T., Lührs, B., Manen, J. V., Matthes, S., Minikin,
A., Niklaß, M., Plohr, M., Righi, M., Rosanka, S., Schmitt, A., Schumann,
U., Terekhov, I., Unterstrasser, S., Vázquez-Navarro, M., Voigt, C., Wicke,
K., Yamashita, H., Zahn, A., and Ziereis, H.: Mitigating the Climate Impact
from Aviation: Achievements and Results of the DLR WeCare Project, Aerospace,
4, 34, https://doi.org/10.3390/aerospace4030034, 2017. a, b
Grewe, V., Matthes, S., and Dahlmann, K.: The contribution of aviation
NOx emissions to climate change: are we ignoring methodological
flaws?, Environ. Res. Lett., 14, 121003, https://doi.org/10.1088/1748-9326/ab5dd7,
2019. a
Grosvenor, D. and Wood, R.: Daily MODIS (MODerate Imaging Spectroradiometer)
derived cloud droplet number concentration global dataset for 2003–2015, Centre for Environmental Data Analysis, available at: https://catalogue.ceda.ac.uk/uuid/cf97ccc802d348ec8a3b6f2995dfbbff, last access: 26 November 2021, 2018. a
Hartmann, D. L., Ockert-Bell, M. E., and Michelsen, M. L.: The Effect of Cloud
Type on Earth's Energy Balance: Global Analysis, J. Climate, 5, 1281–1304,
https://doi.org/10.1175/1520-0442(1992)005<1281:teocto>2.0.co;2, 1992. a, b
Hegglin, M., Kinnison, D., Lamarque, J.-F., and Plummer, D.:
input4MIPs.CMIP6.CMIP.UReading, Version 20160711, Earth System Grid Federation, https://doi.org/10.22033/ESGF/INPUT4MIPS.10452, 2016. 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, 12, https://doi.org/10.1029/2005gl022740, 2005. a, b, c
Heymsfield, A. J., Krämer, M., Luebke, A., Brown, P., Cziczo, D. J.,
Franklin, C., Lawson, P., Lohmann, U., McFarquhar, G., Ulanowski, Z., and
Tricht, K. V.: Cirrus Clouds, Meteor. Mon., 58, 2.1–2.26,
https://doi.org/10.1175/amsmonographs-d-16-0010.1, 2017. a
Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O'Rourke, P. R., and Zhang, Q.: Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369–408, https://doi.org/10.5194/gmd-11-369-2018, 2018. a
Hong, Y., Liu, G., and Li, J.-L. F.: Assessing the Radiative Effects of Global
Ice Clouds Based on CloudSat and CALIPSO Measurements, J. Climate, 29,
7651–7674, https://doi.org/10.1175/jcli-d-15-0799.1, 2016. a, b
Hoose, C. and Möhler, O.: Heterogeneous ice nucleation on atmospheric aerosols: a review of results from laboratory experiments, Atmos. Chem. Phys., 12, 9817–9854, https://doi.org/10.5194/acp-12-9817-2012, 2012. a
Jensen, E. J., Pfister, L., Ackerman, A. S., Tabazadeh, A., and Toon, O. B.: A
conceptual model of the dehydration of air due to freeze-drying by optically
thin, laminar cirrus rising slowly across the tropical tropopause, J.
Geophys. Res.-Atmos., 106, 17237–17252, https://doi.org/10.1029/2000jd900649,
2001. a, b
Jensen, E. J., Diskin, G., Lawson, R. P., Lance, S., Bui, T. P., Hlavka, D.,
McGill, M., Pfister, L., Toon, O. B., and Gao, R.: Ice nucleation and
dehydration in the Tropical Tropopause Layer, P. Natl. Acad. Sci. USA, 110, 2041–2046, https://doi.org/10.1073/pnas.1217104110, 2013. a, b
Johnson, B. T., Haywood, J. M., and Hawcroft, M. K.: Are Changes in Atmospheric
Circulation Important for Black Carbon Aerosol Impacts on Clouds,
Precipitation, and Radiation?, J. Geophys. Res.-Atmos., 124, 7930–7950,
https://doi.org/10.1029/2019jd030568, 2019. a
Joos, H., Spichtinger, P., Lohmann, U., Gayet, J.-F., and Minikin, A.:
Orographic cirrus in the global climate model ECHAM5, J. Geophys. Res.-Atmos., 113, D18, https://doi.org/10.1029/2007jd009605, 2008. a, b, c
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
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
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
Kanji, Z. A., DeMott, P. J., Möhler, O., and Abbatt, J. P. D.: Results from the University of Toronto continuous flow diffusion chamber at ICIS 2007: instrument intercomparison and ice onsets for different aerosol types, Atmos. Chem. Phys., 11, 31–41, https://doi.org/10.5194/acp-11-31-2011, 2011. a
Kanji, Z. A., Ladino, L. A., Wex, H., Boose, Y., Burkert-Kohn, M., Cziczo,
D. J., and Krämer, M.: Overview of Ice Nucleating Particles, Meteor.
Mon., 58, 1.1–1.33, https://doi.org/10.1175/amsmonographs-d-16-0006.1, 2017. a
Kärcher, B.: Cirrus Clouds and Their Response to Anthropogenic Activities, Curr. Clim. Change Rep., 3, 45–57, https://doi.org/10.1007/s40641-017-0060-3, 2017. a, b, c
Kärcher, B. and Lohmann, U.: A parameterization of cirrus cloud formation:
Homogeneous freezing of supercooled aerosols, J. Geophys. Res.-Atmos., 107, D2, https://doi.org/10.1029/2001jd000470, 2002. a, b
Kärcher, B. and Lohmann, U.: A parameterization of cirrus cloud formation:
Heterogeneous freezing, J. Geophys. Res.-Atmos., 108, D14,
https://doi.org/10.1029/2002jd003220, 2003. a, b
Kärcher, B. and Podglajen, A.: A Stochastic Representation of Temperature
Fluctuations Induced by Mesoscale Gravity Waves, J. Geophys. Res.-Atmos.,
124, 11506–11529, https://doi.org/10.1029/2019jd030680, 2019. a
Kärcher, B., Jensen, E. J., and Lohmann, U.: The Impact of Mesoscale
Gravity Waves on Homogeneous Ice Nucleation in Cirrus Clouds, Geophys. Res.
Lett., 46, 5556–5565, https://doi.org/10.1029/2019gl082437, 2019. a
Kärcher, B., Mahrt, F., and Marcolli, C.: Process-oriented analysis of
aircraft soot-cirrus interactions constrains the climate impact of aviation,
Commun. Earth Environ., 2, 1, https://doi.org/10.1038/s43247-021-00175-x, 2021. a, b, c
Koehler, K. A., DeMott, P. J., Kreidenweis, S. M., Popovicheva, O. B., Petters,
M. D., Carrico, C. M., Kireeva, E. D., Khokhlova, T. D., and Shonija, N. K.:
Cloud condensation nuclei and ice nucleation activity of hydrophobic and
hydrophilic soot particles, Phys. Chem. Chem. Phys., 11, 7906,
https://doi.org/10.1039/b905334b, 2009. a, b
Krämer, M., Rolf, C., Luebke, A., Afchine, A., Spelten, N., Costa, A., Meyer, J., Zöger, M., Smith, J., Herman, R. L., Buchholz, B., Ebert, V., Baumgardner, D., Borrmann, S., Klingebiel, M., and Avallone, L.: A microphysics guide to cirrus clouds – Part 1: Cirrus types, Atmos. Chem. Phys., 16, 3463–3483, https://doi.org/10.5194/acp-16-3463-2016, 2016. a, b
Krämer, M., Rolf, C., Spelten, N., Afchine, A., Fahey, D., Jensen, E., Khaykin, S., Kuhn, T., Lawson, P., Lykov, A., Pan, L. L., Riese, M., Rollins, A., Stroh, F., Thornberry, T., Wolf, V., Woods, S., Spichtinger, P., Quaas, J., and Sourdeval, O.: A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations, Atmos. Chem. Phys., 20, 12569–12608, https://doi.org/10.5194/acp-20-12569-2020, 2020. a, b, c
Kulkarni, G., China, S., Liu, S., Nandasiri, M., Sharma, N., Wilson, J., Aiken,
A. C., Chand, D., Laskin, A., Mazzoleni, C., Pekour, M., Shilling, J.,
Shutthanandan, V., Zelenyuk, A., and Zaveri, R. A.: Ice nucleation activity
of diesel soot particles at cirrus relevant temperature conditions: Effects
of hydration, secondary organics coating, soot morphology, and coagulation,
Geophys. Res. Lett., 43, 3580–3588, https://doi.org/10.1002/2016gl068707, 2016. a
Lee, D., Pitari, G., Grewe, V., Gierens, K., Penner, J., Petzold, A., Prather,
M., Schumann, U., Bais, A., and Berntsen, T.: Transport impacts on atmosphere
and climate: Aviation, Atmos. Environ., 44, 4678–4734,
https://doi.org/10.1016/j.atmosenv.2009.06.005, 2010. a
Lee, L. A., Pringle, K. J., Reddington, C. L., Mann, G. W., Stier, P., Spracklen, D. V., Pierce, J. R., and Carslaw, K. S.: The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei, Atmos. Chem. Phys., 13, 8879–8914, https://doi.org/10.5194/acp-13-8879-2013, 2013. 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, b, c
Liu, X. and Penner, J. E.: Ice nucleation parameterization for global models,
Meteorol. Z., 14, 499–514, https://doi.org/10.1127/0941-2948/2005/0059, 2005. a, b, c, d
Liu, X., Penner, J. E., and Wang, M.: Influence of anthropogenic sulfate and
black carbon on upper tropospheric clouds in the NCAR CAM3 model coupled to
the IMPACT global aerosol model, J. Geophys. Res.-Atmos., 114, D3,
https://doi.org/10.1029/2008jd010492, 2009. a, b, c, d
Lohmann, U. and Kärcher, B.: First interactive simulations of cirrus clouds
formed by homogeneous freezing in the ECHAM general circulation model, J.
Geophys. Res.-Atmos., 107, D10, https://doi.org/10.1029/2001jd000767,
2002. a, b
Mahrt, F., Marcolli, C., David, R. O., Grönquist, P., Barthazy Meier, E. J., Lohmann, U., and Kanji, Z. A.: Ice nucleation abilities of soot particles determined with the Horizontal Ice Nucleation Chamber, Atmos. Chem. Phys., 18, 13363–13392, https://doi.org/10.5194/acp-18-13363-2018, 2018. a
Mahrt, F., Kilchhofer, K., Marcolli, C., Grönquist, P., David, R. O., Rösch,
M., Lohmann, U., and Kanji, Z. A.: The Impact of Cloud Processing on the Ice
Nucleation Abilities of Soot Particles at Cirrus Temperatures, J. Geophys.
Res.-Atmos., 125, 3, https://doi.org/10.1029/2019jd030922, 2020. a, b, c, d
Mann, G. W., Carslaw, K. S., Reddington, C. L., Pringle, K. J., Schulz, M., Asmi, A., Spracklen, D. V., Ridley, D. A., Woodhouse, M. T., Lee, L. A., Zhang, K., Ghan, S. J., Easter, R. C., Liu, X., Stier, P., Lee, Y. H., Adams, P. J., Tost, H., Lelieveld, J., Bauer, S. E., Tsigaridis, K., van Noije, T. P. C., Strunk, A., Vignati, E., Bellouin, N., Dalvi, M., Johnson, C. E., Bergman, T., Kokkola, H., von Salzen, K., Yu, F., Luo, G., Petzold, A., Heintzenberg, J., Clarke, A., Ogren, J. A., Gras, J., Baltensperger, U., Kaminski, U., Jennings, S. G., O'Dowd, C. D., Harrison, R. M., Beddows, D. C. S., Kulmala, M., Viisanen, Y., Ulevicius, V., Mihalopoulos, N., Zdimal, V., Fiebig, M., Hansson, H.-C., Swietlicki, E., and Henzing, J. S.: Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys., 14, 4679–4713, https://doi.org/10.5194/acp-14-4679-2014, 2014. a
Marcolli, C.: Pre-activation of aerosol particles by ice preserved in pores, Atmos. Chem. Phys., 17, 1595–1622, https://doi.org/10.5194/acp-17-1595-2017, 2017. a
Marcolli, C., Mahrt, F., and Kärcher, B.: Soot PCF: pore condensation and freezing framework for soot aggregates, Atmos. Chem. Phys., 21, 7791–7843, https://doi.org/10.5194/acp-21-7791-2021, 2021. a, b
McGraw, Z., Storelvmo, T., Samset, B. H., and Stjern, C. W.: Global Radiative
Impacts of Black Carbon Acting as Ice Nucleating Particles, Geophys. Res.
Lett., 47, 20, https://doi.org/10.1029/2020gl089056, 2020. a, b, c, d
Meinshausen, M., Vogel, E., Nauels, A., Lorbacher, K., Meinshausen, N., Etheridge, D. M., Fraser, P. J., Montzka, S. A., Rayner, P. J., Trudinger, C. M., Krummel, P. B., Beyerle, U., Canadell, J. G., Daniel, J. S., Enting, I. G., Law, R. M., Lunder, C. R., O'Doherty, S., Prinn, R. G., Reimann, S., Rubino, M., Velders, G. J. M., Vollmer, M. K., Wang, R. H. J., and Weiss, R.: Historical greenhouse gas concentrations for climate modelling (CMIP6), Geosci. Model Dev., 10, 2057–2116, https://doi.org/10.5194/gmd-10-2057-2017, 2017. a
MESSy: Modular Earth Submodel System, available at: http://www.messy-interface.org, last access: 3 March 2021. a
Möhler, O., Büttner, S., Linke, C., Schnaiter, M., Saathoff, H., Stetzer,
O., Wagner, R., Krämer, M., Mangold, A., Ebert, V., and Schurath, U.:
Effect of sulfuric acid coating on heterogeneous ice nucleation by soot
aerosol particles, J. Geophys. Res.-Atmos., 110, D11, https://doi.org/10.1029/2004jd005169,
2005. a, b
Neubauer, D., Ferrachat, S., Siegenthaler-Le Drian, C., Stier, P., Partridge, D. G., Tegen, I., Bey, I., Stanelle, T., Kokkola, H., and Lohmann, U.: The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity, Geosci. Model Dev., 12, 3609–3639, https://doi.org/10.5194/gmd-12-3609-2019, 2019. a
Nichman, L., Wolf, M., Davidovits, P., Onasch, T. B., Zhang, Y., Worsnop, D. R., Bhandari, J., Mazzoleni, C., and Cziczo, D. J.: Laboratory study of the heterogeneous ice nucleation on black-carbon-containing aerosol, Atmos. Chem. Phys., 19, 12175–12194, https://doi.org/10.5194/acp-19-12175-2019, 2019. a
Penner, J. E., Chen, Y., Wang, M., and Liu, X.: Possible influence of anthropogenic aerosols on cirrus clouds and anthropogenic forcing, Atmos. Chem. Phys., 9, 879–896, https://doi.org/10.5194/acp-9-879-2009, 2009. a, b, c, d
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, c
Petzold, A., Ogren, J. A., Fiebig, M., Laj, P., Li, S.-M., Baltensperger, U., Holzer-Popp, T., Kinne, S., Pappalardo, G., Sugimoto, N., Wehrli, C., Wiedensohler, A., and Zhang, X.-Y.: Recommendations for reporting “black carbon” measurements, Atmos. Chem. Phys., 13, 8365–8379, https://doi.org/10.5194/acp-13-8365-2013, 2013. a
Podglajen, A., Hertzog, A., Plougonven, R., and Legras, B.: Lagrangian
temperature and vertical velocity fluctuations due to gravity waves in the
lower stratosphere, Geophys. Res. Lett., 43, 3543–3553,
https://doi.org/10.1002/2016gl068148, 2016. a, b
Quaas, J., Ming, Y., Menon, S., Takemura, T., Wang, M., Penner, J. E., Gettelman, A., Lohmann, U., Bellouin, N., Boucher, O., Sayer, A. M., Thomas, G. E., McComiskey, A., Feingold, G., Hoose, C., Kristjánsson, J. E., Liu, X., Balkanski, Y., Donner, L. J., Ginoux, P. A., Stier, P., Grandey, B., Feichter, J., Sednev, I., Bauer, S. E., Koch, D., Grainger, R. G., Kirkevåg, A., Iversen, T., Seland, Ø., Easter, R., Ghan, S. J., Rasch, P. J., Morrison, H., Lamarque, J.-F., Iacono, M. J., Kinne, S., and Schulz, M.: Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data, Atmos. Chem. Phys., 9, 8697–8717, https://doi.org/10.5194/acp-9-8697-2009, 2009. a
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V.,
Rowell, D. P., Kent, E. C., and Kaplan, A.: Global analyses of sea surface
temperature, sea ice, and night marine air temperature since the late
nineteenth century, J. Geophys. Res.-Atmos., 108, D14, https://doi.org/10.1029/2002jd002670,
2003. a, b
Regayre, L. A., Schmale, J., Johnson, J. S., Tatzelt, C., Baccarini, A., Henning, S., Yoshioka, M., Stratmann, F., Gysel-Beer, M., Grosvenor, D. P., and Carslaw, K. S.: The value of remote marine aerosol measurements for constraining radiative forcing uncertainty, Atmos. Chem. Phys., 20, 10063–10072, https://doi.org/10.5194/acp-20-10063-2020, 2020. a
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O'Neill, B. C.,
Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp,
A., Cuaresma, J. C., K.-C, S., Leimbach, M., Jiang, L., Kram, T., Rao, S.,
Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Silva,
L. A. D., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui,
T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M.,
Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z.,
Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.:
The Shared Socioeconomic Pathways and their energy, land use, and greenhouse
gas emissions implications: An overview, Global Environ. Change, 42,
153–168, https://doi.org/10.1016/j.gloenvcha.2016.05.009, 2017. a
Righi, M.: Model simulation data used in “Exploring the uncertainties in the
aviation soot-cirrus effect” (Righi et al., Atmos. Chem. Phys., 2021), Zenodo [data set], https://doi.org/10.5281/zenodo.5146195, 2021. a
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, f, g, h, i, j, k, l, m, n
Samset, B. H., Myhre, G., Herber, A., Kondo, Y., Li, S.-M., Moteki, N., Koike, M., Oshima, N., Schwarz, J. P., Balkanski, Y., Bauer, S. E., Bellouin, N., Berntsen, T. K., Bian, H., Chin, M., Diehl, T., Easter, R. C., Ghan, S. J., Iversen, T., Kirkevåg, A., Lamarque, J.-F., Lin, G., Liu, X., Penner, J. E., Schulz, M., Seland, Ø., Skeie, R. B., Stier, P., Takemura, T., Tsigaridis, K., and Zhang, K.: Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom Phase II constrained by aircraft observations, Atmos. Chem. Phys., 14, 12465–12477, https://doi.org/10.5194/acp-14-12465-2014, 2014. a
Schulz, M., Textor, C., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., Berglen, T., Boucher, O., Dentener, F., Guibert, S., Isaksen, I. S. A., Iversen, T., Koch, D., Kirkevåg, A., Liu, X., Montanaro, V., Myhre, G., Penner, J. E., Pitari, G., Reddy, S., Seland, Ø., Stier, P., and Takemura, T.: Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations, Atmos. Chem. Phys., 6, 5225–5246, https://doi.org/10.5194/acp-6-5225-2006, 2006. a
Schultz, M. G., Stadtler, S., Schröder, S., Taraborrelli, D., Franco, B., Krefting, J., Henrot, A., Ferrachat, S., Lohmann, U., Neubauer, D., Siegenthaler-Le Drian, C., Wahl, S., Kokkola, H., Kühn, T., Rast, S., Schmidt, H., Stier, P., Kinnison, D., Tyndall, G. S., Orlando, J. J., and Wespes, C.: The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0, Geosci. Model Dev., 11, 1695–1723, https://doi.org/10.5194/gmd-11-1695-2018, 2018. a
Vali, G., DeMott, P. J., Möhler, O., and Whale, T. F.: Technical Note: A proposal for ice nucleation terminology, Atmos. Chem. Phys., 15, 10263–10270, https://doi.org/10.5194/acp-15-10263-2015, 2015. a
van Marle, M. J. E., Kloster, S., Magi, B. I., Marlon, J. R., Daniau, A.-L., Field, R. D., Arneth, A., Forrest, M., Hantson, S., Kehrwald, N. M., Knorr, W., Lasslop, G., Li, F., Mangeon, S., Yue, C., Kaiser, J. W., and van der Werf, G. R.: Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015), Geosci. Model Dev., 10, 3329–3357, https://doi.org/10.5194/gmd-10-3329-2017, 2017.
a
Voigt, C., Schumann, U., Minikin, A., Abdelmonem, A., Afchine, A., Borrmann,
S., Boettcher, M., Buchholz, B., Bugliaro, L., Costa, A., Curtius, J.,
Dollner, M., Dörnbrack, A., Dreiling, V., Ebert, V., Ehrlich, A., Fix,
A., Forster, L., Frank, F., Fütterer, D., Giez, A., Graf, K., Grooß,
J.-U., Groß, S., Heimerl, K., Heinold, B., Hüneke, T., Järvinen,
E., Jurkat, T., Kaufmann, S., Kenntner, M., Klingebiel, M., Klimach, T.,
Kohl, R., Krämer, M., Krisna, T. C., Luebke, A., Mayer, B., Mertes, S.,
Molleker, S., Petzold, A., Pfeilsticker, K., Port, M., Rapp, M., Reutter, P.,
Rolf, C., Rose, D., Sauer, D., Schäfler, A., Schlage, R., Schnaiter, M.,
Schneider, J., Spelten, N., Spichtinger, P., Stock, P., Walser, A., Weigel,
R., Weinzierl, B., Wendisch, M., Werner, F., Wernli, H., Wirth, M., Zahn, A.,
Ziereis, H., and Zöger, M.: ML-CIRRUS: The Airborne Experiment on Natural
Cirrus and Contrail Cirrus with the High-Altitude Long-Range Research
Aircraft HALO, B. Am. Meteorol. Soc., 98, 271–288,
https://doi.org/10.1175/bams-d-15-00213.1, 2017. a, b
Zhang, Y., Macke, A., and Albers, F.: Effect of crystal size spectrum and
crystal shape on stratiform cirrus radiative forcing, Atmos. Res., 52,
59–75, https://doi.org/10.1016/s0169-8095(99)00026-5, 1999. a
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.
A global climate model is applied to simulate the impact of aviation soot on natural cirrus...
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