Articles | Volume 7, issue 5
https://doi.org/10.5194/gmd-7-2503-2014
© 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-7-2503-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
28 Oct 2014
Development and technical paper |
| 28 Oct 2014
Sensitivity of aerosol radiative effects to different mixing assumptions in the AEROPT 1.0 submodel of the EMAC atmospheric-chemistry–climate model
K. Klingmüller
The Cyprus Institute, P.O. Box 27456, 1645 Nicosia, Cyprus
B. Steil
Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
C. Brühl
Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Institut für Physik der Atmosphäre, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
J. Lelieveld
The Cyprus Institute, P.O. Box 27456, 1645 Nicosia, Cyprus
Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
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Cited
27 citations as recorded by crossref.
- Impact of mixing state on aerosol optical properties during severe wildfires over the Euro-Mediterranean region M. Majdi et al. https://doi.org/10.1016/j.atmosenv.2019.117042
- Estimation of columnar concentrations of absorbing and scattering fine mode aerosol components using AERONET data Y. Choi & Y. Ghim https://doi.org/10.1002/2016JD025080
- Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo L. Frey et al. https://doi.org/10.1080/16000889.2021.1909815
- AOD trends during 2001–2010 from observations and model simulations A. Pozzer et al. https://doi.org/10.5194/acp-15-5521-2015
- Uncertainties in global aerosols and climate effects due to biofuel emissions J. Kodros et al. https://doi.org/10.5194/acp-15-8577-2015
- Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea Y. Choi et al. https://doi.org/10.3390/rs12233904
- Direct radiative effect of dust–pollution interactions K. Klingmüller et al. https://doi.org/10.5194/acp-19-7397-2019
- Composition Dependence of Stratospheric Aerosol Shortwave Radiative Forcing in Northern Midlatitudes Y. Li et al. https://doi.org/10.1029/2021GL094427
- Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller et al. https://doi.org/10.5194/gmd-11-989-2018
- Perturbations of the optical properties of mineral dust particles by mixing with black carbon: a numerical simulation study B. Scarnato et al. https://doi.org/10.5194/acp-15-6913-2015
- Coupling aerosol optics to the MATCH (v5.5.0) chemical transport model and the SALSA (v1) aerosol microphysics module E. Andersson & M. Kahnert https://doi.org/10.5194/gmd-9-1803-2016
- Mixing State of Carbonaceous Aerosols of Primary Emissions from “Improved” African Cookstoves Y. Ting et al. https://doi.org/10.1021/acs.est.8b00456
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- 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
- Modelling Complex Refractive Indices of Sub-micron Pure and Polluted Dust based on Compositional Sensitive Analysis . Sarla et al. https://doi.org/10.1007/s12647-022-00547-4
- Modeling Atmospheric Age Distribution of Elemental Carbon Using a Regional Age-Resolved Particle Representation Framework H. Zhang et al. https://doi.org/10.1021/acs.est.8b05895
- Natural sea-salt emissions moderate the climate forcing of anthropogenic nitrate Y. Chen et al. https://doi.org/10.5194/acp-20-771-2020
- Air Quality and Climate Connections A. Fiore et al. https://doi.org/10.1080/10962247.2015.1040526
- Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes M. Abdelkader et al. https://doi.org/10.5194/acp-17-3799-2017
- MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models P. Kumar et al. https://doi.org/10.1038/s41612-024-00652-y
- The effect of ash, water vapor, and heterogeneous chemistry on the evolution of a Pinatubo-size volcanic cloud M. Abdelkader et al. https://doi.org/10.5194/acp-23-471-2023
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. https://doi.org/10.5194/acp-18-16747-2018
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld https://doi.org/10.5194/gmd-16-3013-2023
- Two new submodels for the Modular Earth Submodel System (MESSy): New Aerosol Nucleation (NAN) and small ions (IONS) version 1.0 S. Ehrhart et al. https://doi.org/10.5194/gmd-11-4987-2018
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. https://doi.org/10.5194/acp-20-15285-2020
- Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. https://doi.org/10.5194/gmd-9-1153-2016
- Aerosol optical depth trend over the Middle East K. Klingmüller et al. https://doi.org/10.5194/acp-16-5063-2016
27 citations as recorded by crossref.
- Impact of mixing state on aerosol optical properties during severe wildfires over the Euro-Mediterranean region M. Majdi et al. https://doi.org/10.1016/j.atmosenv.2019.117042
- Estimation of columnar concentrations of absorbing and scattering fine mode aerosol components using AERONET data Y. Choi & Y. Ghim https://doi.org/10.1002/2016JD025080
- Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo L. Frey et al. https://doi.org/10.1080/16000889.2021.1909815
- AOD trends during 2001–2010 from observations and model simulations A. Pozzer et al. https://doi.org/10.5194/acp-15-5521-2015
- Uncertainties in global aerosols and climate effects due to biofuel emissions J. Kodros et al. https://doi.org/10.5194/acp-15-8577-2015
- Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea Y. Choi et al. https://doi.org/10.3390/rs12233904
- Direct radiative effect of dust–pollution interactions K. Klingmüller et al. https://doi.org/10.5194/acp-19-7397-2019
- Composition Dependence of Stratospheric Aerosol Shortwave Radiative Forcing in Northern Midlatitudes Y. Li et al. https://doi.org/10.1029/2021GL094427
- Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller et al. https://doi.org/10.5194/gmd-11-989-2018
- Perturbations of the optical properties of mineral dust particles by mixing with black carbon: a numerical simulation study B. Scarnato et al. https://doi.org/10.5194/acp-15-6913-2015
- Coupling aerosol optics to the MATCH (v5.5.0) chemical transport model and the SALSA (v1) aerosol microphysics module E. Andersson & M. Kahnert https://doi.org/10.5194/gmd-9-1803-2016
- Mixing State of Carbonaceous Aerosols of Primary Emissions from “Improved” African Cookstoves Y. Ting et al. https://doi.org/10.1021/acs.est.8b00456
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- 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
- Modelling Complex Refractive Indices of Sub-micron Pure and Polluted Dust based on Compositional Sensitive Analysis . Sarla et al. https://doi.org/10.1007/s12647-022-00547-4
- Modeling Atmospheric Age Distribution of Elemental Carbon Using a Regional Age-Resolved Particle Representation Framework H. Zhang et al. https://doi.org/10.1021/acs.est.8b05895
- Natural sea-salt emissions moderate the climate forcing of anthropogenic nitrate Y. Chen et al. https://doi.org/10.5194/acp-20-771-2020
- Air Quality and Climate Connections A. Fiore et al. https://doi.org/10.1080/10962247.2015.1040526
- Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes M. Abdelkader et al. https://doi.org/10.5194/acp-17-3799-2017
- MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models P. Kumar et al. https://doi.org/10.1038/s41612-024-00652-y
- The effect of ash, water vapor, and heterogeneous chemistry on the evolution of a Pinatubo-size volcanic cloud M. Abdelkader et al. https://doi.org/10.5194/acp-23-471-2023
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. https://doi.org/10.5194/acp-18-16747-2018
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld https://doi.org/10.5194/gmd-16-3013-2023
- Two new submodels for the Modular Earth Submodel System (MESSy): New Aerosol Nucleation (NAN) and small ions (IONS) version 1.0 S. Ehrhart et al. https://doi.org/10.5194/gmd-11-4987-2018
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. https://doi.org/10.5194/acp-20-15285-2020
- Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. https://doi.org/10.5194/gmd-9-1153-2016
- Aerosol optical depth trend over the Middle East K. Klingmüller et al. https://doi.org/10.5194/acp-16-5063-2016
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