Articles | Volume 7, issue 3
Geosci. Model Dev., 7, 1137–1157, 2014
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.
Special issue: The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...
Geosci. Model Dev., 7, 1137–1157, 2014
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 et al.
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Cited
20 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. 10.1029/2020EA001500
- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles J. Ching et al. 10.3390/atmos9010017
- AVIATOR - Assessing aViation emission Impact on local Air quality at airports: TOwards Regulation V. Archilla et al. 10.1051/matecconf/201930402023
- Exploring the uncertainties in the aviation soot–cirrus effect M. Righi et al. 10.5194/acp-21-17267-2021
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. 10.1029/2018RG000615
- Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption L. Muser et al. 10.5194/acp-20-15015-2020
- Three-dimensional modeling of the mixing state of particles over Greater Paris S. Zhu et al. 10.1002/2015JD024241
- Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions J. Ching et al. 10.1002/2016JD024851
- An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
- Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. 10.3390/aerospace4030034
- Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. 10.5194/gmd-12-541-2019
- Metrics to quantify the importance of mixing state for CCN activity J. Ching et al. 10.5194/acp-17-7445-2017
- A new radiation infrastructure for the Modular Earth Submodel System (MESSy, based on version 2.51) S. Dietmüller et al. 10.5194/gmd-9-2209-2016
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 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. 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. 10.5194/gmd-10-4057-2017
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. 10.5194/acp-18-16747-2018
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. 10.5194/acp-21-17727-2021
20 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. 10.1029/2020EA001500
- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles J. Ching et al. 10.3390/atmos9010017
- AVIATOR - Assessing aViation emission Impact on local Air quality at airports: TOwards Regulation V. Archilla et al. 10.1051/matecconf/201930402023
- Exploring the uncertainties in the aviation soot–cirrus effect M. Righi et al. 10.5194/acp-21-17267-2021
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. 10.1029/2018RG000615
- Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption L. Muser et al. 10.5194/acp-20-15015-2020
- Three-dimensional modeling of the mixing state of particles over Greater Paris S. Zhu et al. 10.1002/2015JD024241
- Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions J. Ching et al. 10.1002/2016JD024851
- An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
- Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. 10.3390/aerospace4030034
- Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. 10.5194/gmd-12-541-2019
- Metrics to quantify the importance of mixing state for CCN activity J. Ching et al. 10.5194/acp-17-7445-2017
- A new radiation infrastructure for the Modular Earth Submodel System (MESSy, based on version 2.51) S. Dietmüller et al. 10.5194/gmd-9-2209-2016
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 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. 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. 10.5194/gmd-10-4057-2017
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. 10.5194/acp-18-16747-2018
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. 10.5194/acp-21-17727-2021
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