Acquah, C., Stecher, L., Mertens, M. and Jöckel, P.: Effects of different emission inventories on tropospheric ozone and methane lifetime, results of EMIS-01 simulation (1.0) [Data set], Zenodo, https://doi.org/10.5281/zenodo.14712802 (2025)
Acquah, C., Stecher, L., Mertens, M. and Jöckel, P.: Effects of different emission inventories on tropospheric ozone and methane lifetime, results of EMIS-02 simulation (1.0) [Data set], Zenodo, https://doi.org/10.5281/zenodo.14712940 (2025)
2024
Jöckel, Patrick; Brinkop, Sabine; Graf, Phoebe; Eichinger, Roland; Garny, Hella; Mertens, Mariano; Nützel, Matthias; Pozzer, Andrea; Tost, Holger; The MESSy Consortium (2024). RD1: EMAC CCMI-2022 free running hindcast simulation 1950-2019. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/ESCiMo2_RD1
Jöckel, Patrick; Brinkop, Sabine; Graf, Phoebe; Eichinger, Roland; Garny, Hella; Mertens, Mariano; Nützel, Matthias; Pozzer, Andrea; Tost, Holger; The MESSy Consortium (2024). RD1SD: EMAC CCMI-2022 hindcast simulations with specified dynamics, ERA-5, 1979-2019. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/ESCiMo2_RD1SD
Jöckel, Patrick; Brinkop, Sabine; Graf, Phoebe; Eichinger, Roland; Garny, Hella; Mertens, Mariano; Nützel, Matthias; Pozzer, Andrea; Tost, Holger; The MESSy Consortium (2024). RD2: EMAC CCMI-2022 free running combined hindcast and production simulation 1950-2099. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/ESCiMo2_RD2
Kerkweg, A.: Data and plot scripts used in “The MESSy DWARF (based on MESSy v2.55.2)” Kerkweg et al., GMD 2024 [Data set], Zenodo, https://doi.org/10.5281/zenodo.14355764 (2024)
Jingmin Li.: Data used in “Revealing dominant patterns of aerosols regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations” (Li et al., Atmos. Chem. Phys. 2024) [Data set], Zenodo, https://doi.org/10.5281/zenodo.8398024 (2024)
Beer, C.: Model simulation data used in “Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC” (Beer et al., Atmos. Chem. Phys., 2024) [Data set], Zenodo, https://doi.org/10.5281/zenodo.10276710 (2024)
2023
Rosanka, S., Tost, H., Sander, R., Jöckel, P., Kerkweg, A. and Taraborrelli, D.: Model simulation data used in “How non-equilibrium aerosol chemistry impacts particle acidity: the GMXe AERosol CHEMistry (GMXe-AERCHEM, v1.0) sub-submodel of MESSy” [Data set], Zenodo, https://doi.org/10.5281/zenodo.10059700 (2023)
Righi, M.: Model simulation data used in “The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 1: Land transport and shipping” (Righi et al., Atmos. Chem. Phys., 2015) [Data set], In Atmospheric Chemistry and Physics (Bd. 15, S. 633–651), Zenodo, https://doi.org/10.5281/zenodo.10037291 (2023)
Righi, M.: Model simulation data used in “The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation” (Righi et al., Atmos. Chem. Phys., 2016) [Data set], In Atmospheric Chemistry and Physics (Bd. 16, S. 4481–4495), Zenodo, https://doi.org/10.5281/zenodo.10037293 (2023)
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) [Data set], In Earth System Dynamics (Bd. 14, S. 835–859), Zenodo, https://doi.org/10.5281/zenodo.8134336 (2023)
2022
Gromov, S., Taraborrelli, D., Pozzer, A. and Lelieveld, J.: Atmospheric hydroxyl distribution from the EMAC model (MOM kinetic chemistry mechanism) [Data set], In Atmospheric Chemistry and Physics (Bd. 16, S. 12477–12493), Zenodo, https://doi.org/10.5281/zenodo.6665040 (2022)
2021
Righi, M.: Model simulation data used in “Exploring the uncertainties in the aviation soot-cirrus effect” (Righi et al., Atmos. Chem. Phys., 2021) [Data set], In Atmospheric Chemistry and Physics, Zenodo, https://doi.org/10.5281/zenodo.5146195 (2021)
2020
Jöckel, Patrick; Tost, Holger; Pozzer, Andrea; Kunze, Markus; Kirner, Oliver; Brenninkmeijer, Carl A.M.; Brinkop, Sabine; Cai, Duy S.; Dyroff, Christoph; Eckstein, Johannes; Frank, Franziska; Garny, Hella; Gottschaldt, Klaus-Dirk; Graf, Phoebe; Grewe, Volker; Kerkweg, Astrid; Kern, Bastian; Matthes, Sigrun; Mertens, Mariano; Meul, Stefanie; Neumaier, Marco; Nützel, Matthias; Oberländer-Hayn, Sophie; Pfeiffer, Andreas; Ruhnke, Roland; Runde, Theresa; Sander, Rolf; Scharffe, Dieter; Zahn, Andreas (2020). ESCiMo / CCMI: hindcast simulations, free-running, SSTs/SICs from HadISST. 1960-2011. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/RC1
Jöckel, Patrick; Tost, Holger; Pozzer, Andrea; Kunze, Markus; Kirner, Oliver; Brenninkmeijer, Carl A.M.; Brinkop, Sabine; Cai, Duy S.; Dyroff, Christoph; Eckstein, Johannes; Frank, Franziska; Garny, Hella; Gottschaldt, Klaus-Dirk; Graf, Phoebe; Grewe, Volker; Kerkweg, Astrid; Kern, Bastian; Matthes, Sigrun; Mertens, Mariano; Meul, Stefanie; Neumaier, Marco; Nützel, Matthias; Oberländer-Hayn, Sophie; Pfeiffer, Andreas; Ruhnke, Roland; Runde, Theresa; Sander, Rolf; Scharffe, Dieter; Zahn, Andreas (2020). ESCiMo / CCMI: future simulations scenario RCP6.0, SSTs/SICs from coupled HADGEM2-ES simulation and with interactive ocean, respectively. 1960-2100. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/RC2
Mariano Mertens: Model simulation data used in “Attributing ozone and its precursors to land transport emissions in Europe and Germany” (Mertens et al., ACP, 2020) [Data set], Zenodo, https://doi.org/10.5281/zenodo.3908469 (2020)
Righi, M.: Model simulation data used in “Coupling aerosols to (cirrus) clouds in the global aerosol-climate model EMAC-MADE3” (Righi et al., Geosci. Model Dev., 2020) [Data set], Zenodo, https://doi.org/10.5281/zenodo.3630106 (2020)
2019
Gromov, S. and Röckmann, T.: Simulation data and software scripts used in calculus of ∆36 signature from EMAC clumped O2 isotope-inclusive model [Data set], Zenodo, https://doi.org/10.5281/zenodo.3603045 (2019)
