Articles | Volume 7, issue 3
https://doi.org/10.5194/gmd-7-1137-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-1137-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
17 Jun 2014
Model description paper |
| 17 Jun 2014
The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test
J. C. Kaiser
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
J. 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
N. Riemer
Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
R. A. Zaveri
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
S. Metzger
The Cyprus Institute, Nicosia, Cyprus
Max Planck Institute for Chemistry, Mainz, Germany
V. Aquila
GESTAR/Johns Hopkins University, Department of Earth and Planetary Sciences, Baltimore, MD, USA
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37 citations as recorded by crossref.
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- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles J. Ching et al. https://doi.org/10.3390/atmos9010017
- Exploring the uncertainties in the aviation soot–cirrus effect M. Righi et al. https://doi.org/10.5194/acp-21-17267-2021
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Three‐dimensional modeling of the mixing state of particles over Greater Paris S. Zhu et al. https://doi.org/10.1002/2015JD024241
- Measurements and modelling of the three-dimensional near-field dispersion of particulate matter emitted from passenger ships in a port environment M. Haugen et al. https://doi.org/10.1016/j.atmosenv.2022.119384
- 大气气溶胶尺度信息的卫星遥感反演：进展、挑战与展望（特邀） 晏. Yan Xing et al. https://doi.org/10.3788/AOS251947
- AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO4 transport patterns J. Maruhashi et al. https://doi.org/10.5194/gmd-19-2747-2026
- Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. https://doi.org/10.1029/2022JD038179
- An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. https://doi.org/10.5194/gmd-16-1459-2023
- New submodel for emissions from Explosive Volcanic ERuptions (EVER v1.1) within the Modular Earth Submodel System (MESSy, version 2.55.1) M. Kohl et al. https://doi.org/10.5194/gmd-18-3985-2025
- Metrics to quantify the importance of mixing state for CCN activity J. Ching et al. https://doi.org/10.5194/acp-17-7445-2017
- 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. https://doi.org/10.5194/acp-24-12727-2024
- A new radiation infrastructure for the Modular Earth Submodel System (MESSy, based on version 2.51) S. Dietmüller et al. https://doi.org/10.5194/gmd-9-2209-2016
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. https://doi.org/10.5194/gmd-13-4287-2020
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- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. https://doi.org/10.5194/gmd-13-1635-2020
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. https://doi.org/10.5194/acp-18-16747-2018
- Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. https://doi.org/10.5194/acp-21-17727-2021
- AVIATOR - Assessing aViation emission Impact on local Air quality at airports: TOwards Regulation V. Archilla et al. https://doi.org/10.1051/matecconf/201930402023
- Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. https://doi.org/10.5194/acp-24-3217-2024
- 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. https://doi.org/10.5194/esd-14-835-2023
- Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption L. Muser et al. https://doi.org/10.5194/acp-20-15015-2020
- A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC C. Beer et al. https://doi.org/10.5194/acp-22-15887-2022
- Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions J. Ching et al. https://doi.org/10.1002/2016JD024851
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- A combined observational and modelling approach to evaluate aerosol–cirrus interactions at high and mid-latitudes E. De La Torre Castro et al. https://doi.org/10.5194/acp-26-5879-2026
- Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. https://doi.org/10.3390/aerospace4030034
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- Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. https://doi.org/10.1038/s41612-024-00610-8
- Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta J. Yin et al. https://doi.org/10.1016/j.scitotenv.2024.171353
- Assessing modifications to the Abdul-Razzak and Ghan aerosol activation parameterization (version ARG2000) to improve simulated aerosol–cloud radiative effects in the UK Met Office Unified Model (UM version 13.0) P. Ghosh et al. https://doi.org/10.5194/gmd-18-4899-2025
- Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere Z. Li et al. https://doi.org/10.1021/acs.est.3c06708
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. https://doi.org/10.5194/acp-22-13527-2022
- A double-box model for aircraft exhaust plumes based on the MADE3 aerosol microphysics (MADE3 v4.0) M. Sharma et al. https://doi.org/10.5194/gmd-18-8485-2025
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
37 citations as recorded by crossref.
- Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling Z. Zheng et al. https://doi.org/10.1029/2020EA001500
- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles J. Ching et al. https://doi.org/10.3390/atmos9010017
- Exploring the uncertainties in the aviation soot–cirrus effect M. Righi et al. https://doi.org/10.5194/acp-21-17267-2021
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Three‐dimensional modeling of the mixing state of particles over Greater Paris S. Zhu et al. https://doi.org/10.1002/2015JD024241
- Measurements and modelling of the three-dimensional near-field dispersion of particulate matter emitted from passenger ships in a port environment M. Haugen et al. https://doi.org/10.1016/j.atmosenv.2022.119384
- 大气气溶胶尺度信息的卫星遥感反演：进展、挑战与展望（特邀） 晏. Yan Xing et al. https://doi.org/10.3788/AOS251947
- AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO4 transport patterns J. Maruhashi et al. https://doi.org/10.5194/gmd-19-2747-2026
- Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. https://doi.org/10.1029/2022JD038179
- An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. https://doi.org/10.5194/gmd-16-1459-2023
- New submodel for emissions from Explosive Volcanic ERuptions (EVER v1.1) within the Modular Earth Submodel System (MESSy, version 2.55.1) M. Kohl et al. https://doi.org/10.5194/gmd-18-3985-2025
- Metrics to quantify the importance of mixing state for CCN activity J. Ching et al. https://doi.org/10.5194/acp-17-7445-2017
- 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. https://doi.org/10.5194/acp-24-12727-2024
- A new radiation infrastructure for the Modular Earth Submodel System (MESSy, based on version 2.51) S. Dietmüller et al. https://doi.org/10.5194/gmd-9-2209-2016
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. https://doi.org/10.5194/gmd-13-4287-2020
- Evaluation of the Community Multiscale Air Quality (CMAQ) model v5.0 against size-resolved measurements of inorganic particle composition across sites in North America C. Nolte et al. https://doi.org/10.5194/gmd-8-2877-2015
- A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0 J. Curtis et al. https://doi.org/10.5194/gmd-10-4057-2017
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. https://doi.org/10.5194/gmd-13-1635-2020
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. https://doi.org/10.5194/acp-18-16747-2018
- Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. https://doi.org/10.5194/acp-21-17727-2021
- AVIATOR - Assessing aViation emission Impact on local Air quality at airports: TOwards Regulation V. Archilla et al. https://doi.org/10.1051/matecconf/201930402023
- Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. https://doi.org/10.5194/acp-24-3217-2024
- 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. https://doi.org/10.5194/esd-14-835-2023
- Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption L. Muser et al. https://doi.org/10.5194/acp-20-15015-2020
- A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC C. Beer et al. https://doi.org/10.5194/acp-22-15887-2022
- Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions J. Ching et al. https://doi.org/10.1002/2016JD024851
- An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. https://doi.org/10.5194/gmd-15-509-2022
- A combined observational and modelling approach to evaluate aerosol–cirrus interactions at high and mid-latitudes E. De La Torre Castro et al. https://doi.org/10.5194/acp-26-5879-2026
- Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. https://doi.org/10.3390/aerospace4030034
- Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. https://doi.org/10.5194/gmd-12-541-2019
- Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. https://doi.org/10.1038/s41612-024-00610-8
- Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta J. Yin et al. https://doi.org/10.1016/j.scitotenv.2024.171353
- Assessing modifications to the Abdul-Razzak and Ghan aerosol activation parameterization (version ARG2000) to improve simulated aerosol–cloud radiative effects in the UK Met Office Unified Model (UM version 13.0) P. Ghosh et al. https://doi.org/10.5194/gmd-18-4899-2025
- Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere Z. Li et al. https://doi.org/10.1021/acs.est.3c06708
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. https://doi.org/10.5194/acp-22-13527-2022
- A double-box model for aircraft exhaust plumes based on the MADE3 aerosol microphysics (MADE3 v4.0) M. Sharma et al. https://doi.org/10.5194/gmd-18-8485-2025
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
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