Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-541-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-541-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
01 Feb 2019
Model description paper |
| 01 Feb 2019
| 01 Feb 2019
Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation
J. Christopher Kaiser
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
now at: fidion GmbH, Würzburg, Germany
Johannes Hendricks
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Holger Tost
Institute for Atmospheric Physics, Johannes Gutenberg University of Mainz, Mainz, Germany
Konrad Kandler
Institut für Angewandte Geowissenschaften, Technische Universität Darmstadt, Darmstadt, Germany
Bernadett Weinzierl
University of Vienna, Faculty of Physics, Aerosol Physics and Environmental Physics, Vienna, Austria
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ludwig-Maximilians-Universität München, Meteorologisches Institut, Munich, Germany
Daniel Sauer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ludwig-Maximilians-Universität München, Meteorologisches Institut, Munich, Germany
Katharina Heimerl
University of Vienna, Faculty of Physics, Aerosol Physics and Environmental Physics, Vienna, Austria
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ludwig-Maximilians-Universität München, Meteorologisches Institut, Munich, Germany
Joshua P. Schwarz
NOAA Earth System Research Laboratory, Boulder, CO, USA
Anne E. Perring
NOAA Earth System Research Laboratory, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
now at: Department of Chemistry, Colgate University, Hamilton, NY, USA
Thomas Popp
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Deutsches Fernerkundungsdatenzentrum, Oberpfaffenhofen, Germany
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Cited
18 citations as recorded by crossref.
- Challenge of modelling GLORIA observations of upper troposphere–lowermost stratosphere trace gas and cloud distributions at high latitudes: a case study with state-of-the-art models F. Haenel et al. 10.5194/acp-22-2843-2022
- How non-equilibrium aerosol chemistry impacts particle acidity: the GMXe AERosol CHEMistry (GMXe–AERCHEM, v1.0) sub-submodel of MESSy S. Rosanka et al. 10.5194/gmd-17-2597-2024
- Contrail formation on ambient aerosol particles for aircraft with hydrogen combustion: a box model trajectory study A. Bier et al. 10.5194/acp-24-2319-2024
- Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-24-3217-2024
- An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
- IAP-AACM v1.0: a global to regional evaluation of the atmospheric chemistry model in CAS-ESM Y. Wei et al. 10.5194/acp-19-8269-2019
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs) M. Righi et al. 10.5194/esd-14-835-2023
- Exploring the uncertainties in the aviation soot–cirrus effect M. Righi et al. 10.5194/acp-21-17267-2021
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Unprecedented levels of ultrafine particles, major sources, and the hydrological cycle W. Junkermann & J. Hacker 10.1038/s41598-022-11500-5
- A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-22-15887-2022
- Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations J. Li et al. 10.5194/acp-24-12727-2024
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. 10.5194/gmd-16-1459-2023
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Atmospheric Chemistry in a Box or a Bag G. Hidy 10.3390/atmos10070401
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
18 citations as recorded by crossref.
- Challenge of modelling GLORIA observations of upper troposphere–lowermost stratosphere trace gas and cloud distributions at high latitudes: a case study with state-of-the-art models F. Haenel et al. 10.5194/acp-22-2843-2022
- How non-equilibrium aerosol chemistry impacts particle acidity: the GMXe AERosol CHEMistry (GMXe–AERCHEM, v1.0) sub-submodel of MESSy S. Rosanka et al. 10.5194/gmd-17-2597-2024
- Contrail formation on ambient aerosol particles for aircraft with hydrogen combustion: a box model trajectory study A. Bier et al. 10.5194/acp-24-2319-2024
- Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-24-3217-2024
- An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
- IAP-AACM v1.0: a global to regional evaluation of the atmospheric chemistry model in CAS-ESM Y. Wei et al. 10.5194/acp-19-8269-2019
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs) M. Righi et al. 10.5194/esd-14-835-2023
- Exploring the uncertainties in the aviation soot–cirrus effect M. Righi et al. 10.5194/acp-21-17267-2021
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Unprecedented levels of ultrafine particles, major sources, and the hydrological cycle W. Junkermann & J. Hacker 10.1038/s41598-022-11500-5
- A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-22-15887-2022
- Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations J. Li et al. 10.5194/acp-24-12727-2024
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. 10.5194/gmd-16-1459-2023
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Atmospheric Chemistry in a Box or a Bag G. Hidy 10.3390/atmos10070401
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
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Latest update: 18 Jun 2025
Short summary
The implementation of the aerosol microphysics submodel MADE3 into the global atmospheric chemistry model EMAC is described and evaluated against an extensive pool of observational data, focusing on aerosol mass and number concentrations, size distributions, composition, and optical properties. EMAC (MADE3) is able to reproduce main aerosol properties reasonably well, in line with the performance of other global aerosol models.
The implementation of the aerosol microphysics submodel MADE3 into the global atmospheric...
