Articles | Volume 11, issue 3
https://doi.org/10.5194/gmd-11-989-2018
© Author(s) 2018. 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-11-989-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
16 Mar 2018
Development and technical paper |
| 16 Mar 2018
| 16 Mar 2018
Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch)
Max Planck Institute for Chemistry, P.O. Box 3060, Mainz,
Germany
Swen Metzger
The Cyprus Institute, P.O. Box 27456, Nicosia, Cyprus
ResearchConcepts io GmbH, Freiburg im Breisgau, Germany
Mohamed Abdelkader
Max Planck Institute for Chemistry, P.O. Box 3060, Mainz,
Germany
King Abdullah University of Science and Technology, Thuwal,
Saudi Arabia
Vlassis A. Karydis
Max Planck Institute for Chemistry, P.O. Box 3060, Mainz,
Germany
Georgiy L. Stenchikov
King Abdullah University of Science and Technology, Thuwal,
Saudi Arabia
Andrea Pozzer
Max Planck Institute for Chemistry, P.O. Box 3060, Mainz,
Germany
Jos Lelieveld
Max Planck Institute for Chemistry, P.O. Box 3060, Mainz,
Germany
The Cyprus Institute, P.O. Box 27456, Nicosia, Cyprus
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30 citations as recorded by crossref.
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- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
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- A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
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- Numerical simulation and evaluation of global ultrafine particle concentrations at the Earth's surface M. Kohl et al. 10.5194/acp-23-13191-2023
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- Estimates of Dust Emissions and Organic Carbon Losses Induced by Wind Erosion in Farmland Worldwide from 2017 to 2021 Y. Liu et al. 10.3390/agriculture13040781
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. 10.5194/acp-20-15285-2020
- Air pollution deaths attributable to fossil fuels: observational and modelling study J. Lelieveld et al. 10.1136/bmj-2023-077784
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- Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
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- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China R. Tian et al. 10.5194/acp-21-4319-2021
- Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
- Implementation of the ISORROPIA-lite aerosol thermodynamics model into the EMAC chemistry climate model (based on MESSy v2.55): implications for aerosol composition and acidity A. Milousis et al. 10.5194/gmd-17-1111-2024
- Modeling for the source apportionments of PM10 during sand and dust storms over East Asia in 2020 J. Wang et al. 10.1016/j.atmosenv.2021.118768
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld 10.5194/gmd-16-3013-2023
- Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. 10.5194/acp-18-16747-2018
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind J. Wang et al. 10.3390/atmos13010108
30 citations as recorded by crossref.
- A new circulating accumulation emission model for assessing dust emission from open pit mine W. Tang & F. Li 10.1038/s41598-021-03774-y
- Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data C. Brühl et al. 10.5194/acp-18-12845-2018
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) S. Ma et al. 10.5194/gmd-12-4603-2019
- A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
- Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality S. Parajuli et al. 10.1029/2019JD030248
- How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
- Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. 10.5194/acp-23-1825-2023
- Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations M. Liaskoni et al. 10.5194/acp-23-3629-2023
- Numerical simulation and evaluation of global ultrafine particle concentrations at the Earth's surface M. Kohl et al. 10.5194/acp-23-13191-2023
- Impacts of Surface Water on Windborne Lead Dispersion from the Zinc Plant Leach Residue in Kabwe, Zambia S. Nakamura et al. 10.3390/min12050535
- Reconstructing volcanic radiative forcing since 1990, using a comprehensive emission inventory and spatially resolved sulfur injections from satellite data in a chemistry-climate model J. Schallock et al. 10.5194/acp-23-1169-2023
- Direct radiative effect of dust–pollution interactions K. Klingmüller et al. 10.5194/acp-19-7397-2019
- Simulation of organics in the atmosphere: evaluation of EMACv2.54 with the Mainz Organic Mechanism (MOM) coupled to the ORACLE (v1.0) submodel A. Pozzer et al. 10.5194/gmd-15-2673-2022
- Estimates of Dust Emissions and Organic Carbon Losses Induced by Wind Erosion in Farmland Worldwide from 2017 to 2021 Y. Liu et al. 10.3390/agriculture13040781
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. 10.5194/acp-20-15285-2020
- Air pollution deaths attributable to fossil fuels: observational and modelling study J. Lelieveld et al. 10.1136/bmj-2023-077784
- Evaluation of Dispersion of Lead-Bearing Mine Wastes in Kabwe District, Zambia S. Nakamura et al. 10.3390/min11080901
- Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
- Climate-model-informed deep learning of global soil moisture distribution K. Klingmüller & J. Lelieveld 10.5194/gmd-14-4429-2021
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China R. Tian et al. 10.5194/acp-21-4319-2021
- Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
- Implementation of the ISORROPIA-lite aerosol thermodynamics model into the EMAC chemistry climate model (based on MESSy v2.55): implications for aerosol composition and acidity A. Milousis et al. 10.5194/gmd-17-1111-2024
- Modeling for the source apportionments of PM10 during sand and dust storms over East Asia in 2020 J. Wang et al. 10.1016/j.atmosenv.2021.118768
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld 10.5194/gmd-16-3013-2023
- Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
- Aerosol water parameterization: long-term evaluation and importance for climate studies S. Metzger et al. 10.5194/acp-18-16747-2018
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind J. Wang et al. 10.3390/atmos13010108
Discussed (final revised paper)
Latest update: 16 Nov 2024
Short summary
More than 1 billion tons of mineral dust particles are raised into the atmosphere every year, which has a significant impact on climate, society and ecosystems. The location, time and amount of dust emissions depend on surface and wind conditions. In the atmospheric chemistry–climate model EMAC, we have updated the relevant surface data and equations. Our validation shows that the updates substantially improve the agreement of model results and observations.
More than 1 billion tons of mineral dust particles are raised into the atmosphere every year,...
