DKRZ Project

80: Klima und Verkehr

active project

Principal investigator: Johannes Hendricks

DLR, Institut für Physik der Atmosphäre (Community project)

Report 1/2006 to 12/2006
Report 1/2008 to 12/2008
Report 1/2009 to 12/2009
Report 1/2010 to 12/2010
Report 1/2011 to 12/2011
Report 1/2012 to 12/2012
Report 1/2013 to 12/2013
Report 1/2015 to 12/2015
Report 1/2016 to 12/2016
Report 1/2017 to 12/2017
Report 1/2018 to 12/2018
Report 1/2019 to 12/2019
Report 1/2020 to 12/2020
Report 1/2021 to 12/2021
Report 1/2022 to 12/2022
Report 1/2023 to 12/2023
Report 1/2024 to 12/2024

Publications

DOI: 10.5194/egusphere-2024-324, Mertens, M., Brinkop, S., Graf, P., Grewe, V., Hendricks, J., Jöckel, P., Lanteri, A., Matthes, S., Rieger, V. S., Righi, M., and Thor, R. N.: The contribution of transport emissions to ozone mixing ratios and methane lifetime in 2015 and 2050 in the Shared Socioeconomic Pathways (SSPs), EGUsphere [preprint], doi:10.5194/egusphere-2024-324, 2024. Accepted.
DOI: 10.5194/egusphere-2024-1024, Li, J., Righi, M., Hendricks, J., Beer, C. G., Burkhardt, U., and Schmidt, A.: Revealing dominant patterns of aerosols regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations, EGUsphere [preprint], doi:10.5194/egusphere-2024-1024, 2024. Accepted.
DOI: 10.5194/esd-14-835-2023, Righi, M., Hendricks, J., and Brinkop, S.: The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs), Earth Syst. Dynam., 14, 835–859, https://doi.org/10.5194/esd-14-835-2023, 2023.
DOI: 10.5194/acp-22-15887-2022, Beer, C. G., Hendricks, J., and Righi, M.: A global climatology of ice-nucleating particles under cirrus condi-tions derived from model simulations with MADE3 in EMAC, Atmos. Chem. Phys., 22, 15887–15907, https://doi.org/10.5194/acp-22-15887-2022, 2022.
DOI: 10.5194/egusphere-2023-1983, Beer, C. G., Hendricks, J., and Righi, M.: Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1983, 2023.
DOI: 10.5194/acp-2022-529, Beer, C. G., Hendricks, J. and Righi, M., 2022: A global climatology of ice nucleating particles at cirrus conditions derived from model simulations with EMAC-MADE3, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-529, in review.
DOI: 10.5194/acp-21-17267-2021, Righi, M., Hendricks, J., and Beer, C. G., 2021: Exploring the uncertainties in the aviation soot–cirrus effect, Atmos. Chem. Phys., 21, 17267–17289, https://doi.org/10.5194/acp-21-17267-2021.
DOI: 10.5194/gmd-15-509-2022, Li, J., Hendricks, J., Righi, M., and Beer, C. G., 2022: An aerosol classification scheme for global simulations using the K-means machine learning method, Geosci. Model Dev., 15, 509-533, https://doi.org/10.5194/gmd-15-509-2022.
DOI: 10.5282/edoc.28470, Beer, C. G., 2021: Global modelling of ice nucleating particles and their effects on cirrus clouds, Ph.D. thesis, Ludwig-Maximilians-Universität München, https://doi.org/10.5282/edoc.28470.
DOI: 10.5194/gmd-2021-191, Li, J., Hendricks, J., Righi, M., and Beer, C. G., 2021: An aerosol classification scheme for global simulations using the K-means machine learning method, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-191, in review
DOI: 10.5194/acp-2021-329, Righi, M., Hendricks, J., and Beer, C. G., 2021: Exploring the uncertainties in the aviation soot-cirrus effect, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-329, in review
DOI: -, Beer, C. G., 2021: Global modelling of ice nucleating particles and their effects on cirrus clouds, PhD thesis, Ludwig-Maximilians-Universität, München, in print
DOI: 10.5194/gmd-13-1635-2020, Righi, M., Hendricks, J., Lohmann, U., Beer, C. G., Hahn, V., Heinold, B., Heller, R., Krämer, M., Rolf, C., Tegen, I., and Voigt, C., 2020: 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.
DOI: 10.5194/gmd-13-4287-2020, Beer, C. G., Hendricks, J., Righi, M., Heinold, B., Tegen, I., Groß, S., Sauer, D., Walser, A., and Weinzierl, B., 2020: 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.
DOI: 10.5194/gmd-2019-212, Righi, M., Hendricks, J., Lohmann, U., Beer, C. G., Hahn, V., Heinold, B., Heller, R., Krämer, M., Rolf, C., Tegen, I., and Voigt, C.: A new approach to simulate aerosol effects on cirrus clouds in EMAC v2.54, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-212, in review, 2019.
DOI: 10.5194/gmd-12-541-2019, 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.
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.
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.
Righi, M., Hendricks, J., Sausen, R., 2016: The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation, Atmos. Chem. Phys., 16, 4481–4495, doi:10.5194/acp-16-4481-2016.
Righi, M., Hendricks, J., Sausen, R., 2015: The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 1: Land transport and shipping, Atmos. Chem. Phys., 15, 633–651.
Kaiser, C., 2015: Including Coarse Mode Aerosol Microphysics in a Climate Model: Model Development and First Application, Dissertation, Ludwig-Maximilians-Universität, München.
Dietmüller, S., Ponater, M., Sausen, R., 2013: Ozone induces negative feedback in CO2 driven climate change simulations, J. Geophys. Res., submitted.
Righi, M., Hendricks, J., Sausen, R., 2013: The global impact of the transport sectors on atmos-pheric aerosol: simulations for year 2000 emissions, Atmos. Chem. Phys., 13, 9939-9970, doi:10.5194/acp-13-9939-2013.
Stenke, A., Deckert, R., and Gottschaldt, K., Methane modeling - from process-oriented models to global climate models, in: Atmospheric Physics - Background - Methods - Trends, edited by: Schumann, U., Springer, 781-797, 2012.
Gottschaldt,K. Voigt,C., Jöckel,P., Righi,M. Deckert, R., Dietmüller,S., Global sensitivity of aviation NOx effects to the HNO3-forming channel of the HO2+NO reaction. Atmos. Chem. Phys. Discuss., 12, 24287-24349, 2012.
C. Frömming, M. Ponater, U. Burkhardt, A. Stenke, S. Pechtl, R. Sausen: Sensitivity of contrail coverage and contrail radiative forcing to selected key parameters, Atmos. Environ., 45, 1483-1490..
Hendricks, J., Kärcher, B., Lohmann, U., 2011: Effects of ice nuclei on cirrus clouds in a global climate model, J. Geophys. Res., 116, D18206, doi:10.1029/2010JD015302.
Dietmüller, S., 2011: Relative Bedeutung chemischer und physikalischer Rückkopplungen in Klimasensitivitätsstudien mit EMAC/MLO, Dissertation, Ludwig-Maximillians-Universität München.
Dameris et al., 2005
Grewe, 2004
Stenke and Grewe, 2005