Articles | Volume 12, issue 3
https://doi.org/10.5194/acp-12-1611-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-12-1611-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The Mineral Dust Cycle in EMAC 2.40: sensitivity to the spectral resolution and the dust emission scheme
G. Gläser
Institute for Atmospheric Physics, University of Mainz, 55099 Mainz, Germany
A. Kerkweg
Institute for Atmospheric Physics, University of Mainz, 55099 Mainz, Germany
H. Wernli
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Viewed
Total article views: 3,575 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 05 Oct 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,761 | 1,675 | 139 | 3,575 | 131 | 89 |
- HTML: 1,761
- PDF: 1,675
- XML: 139
- Total: 3,575
- BibTeX: 131
- EndNote: 89
Total article views: 2,980 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 14 Feb 2012)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,515 | 1,348 | 117 | 2,980 | 114 | 83 |
- HTML: 1,515
- PDF: 1,348
- XML: 117
- Total: 2,980
- BibTeX: 114
- EndNote: 83
Total article views: 595 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 05 Oct 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
246 | 327 | 22 | 595 | 17 | 6 |
- HTML: 246
- PDF: 327
- XML: 22
- Total: 595
- BibTeX: 17
- EndNote: 6
Cited
18 citations as recorded by crossref.
- Uncertainty in modeling dust mass balance and radiative forcing from size parameterization C. Zhao et al. 10.5194/acp-13-10733-2013
- Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. 10.5194/gmd-9-1153-2016
- Dust emission modeling for the western border region of Mexico and the USA J. Carmona et al. 10.1007/s12665-015-4173-5
- Dust–air pollution dynamics over the eastern Mediterranean M. Abdelkader et al. 10.5194/acp-15-9173-2015
- Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
- Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5 K. Zhang et al. 10.5194/gmd-9-607-2016
- Ice nucleation by fungal spores from the classes <i>Agaricomycetes</i>, <i>Ustilaginomycetes</i>, and <i>Eurotiomycetes</i>, and the effect on the atmospheric transport of these spores D. Haga et al. 10.5194/acp-14-8611-2014
- Ice nuclei in marine air: biogenic particles or dust? S. Burrows et al. 10.5194/acp-13-245-2013
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes M. Abdelkader et al. 10.5194/acp-17-3799-2017
- Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
- Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al. 10.3390/rs14071693
- Simulating Atmospheric Dust With a Global Variable‐Resolution Model: Model Description and Impacts of Mesh Refinement J. Feng et al. 10.1029/2023MS003636
- Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller et al. 10.5194/gmd-11-989-2018
- Parameterization of dust emissions in the global atmospheric chemistry-climate model EMAC: impact of nudging and soil properties M. Astitha et al. 10.5194/acp-12-11057-2012
- Estimating bacteria emissions from inversion of atmospheric transport: sensitivity to modelled particle characteristics S. Burrows et al. 10.5194/acp-13-5473-2013
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Extending legacy climate models by adaptive mesh refinement for single-component tracer transport: a case study with ECHAM6-HAMMOZ (ECHAM6.3-HAM2.3-MOZ1.0) Y. Chen et al. 10.5194/gmd-14-2289-2021
18 citations as recorded by crossref.
- Uncertainty in modeling dust mass balance and radiative forcing from size parameterization C. Zhao et al. 10.5194/acp-13-10733-2013
- Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. 10.5194/gmd-9-1153-2016
- Dust emission modeling for the western border region of Mexico and the USA J. Carmona et al. 10.1007/s12665-015-4173-5
- Dust–air pollution dynamics over the eastern Mediterranean M. Abdelkader et al. 10.5194/acp-15-9173-2015
- Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
- Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5 K. Zhang et al. 10.5194/gmd-9-607-2016
- Ice nucleation by fungal spores from the classes <i>Agaricomycetes</i>, <i>Ustilaginomycetes</i>, and <i>Eurotiomycetes</i>, and the effect on the atmospheric transport of these spores D. Haga et al. 10.5194/acp-14-8611-2014
- Ice nuclei in marine air: biogenic particles or dust? S. Burrows et al. 10.5194/acp-13-245-2013
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes M. Abdelkader et al. 10.5194/acp-17-3799-2017
- Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust R. Checa-Garcia et al. 10.5194/acp-21-10295-2021
- Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al. 10.3390/rs14071693
- Simulating Atmospheric Dust With a Global Variable‐Resolution Model: Model Description and Impacts of Mesh Refinement J. Feng et al. 10.1029/2023MS003636
- Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller et al. 10.5194/gmd-11-989-2018
- Parameterization of dust emissions in the global atmospheric chemistry-climate model EMAC: impact of nudging and soil properties M. Astitha et al. 10.5194/acp-12-11057-2012
- Estimating bacteria emissions from inversion of atmospheric transport: sensitivity to modelled particle characteristics S. Burrows et al. 10.5194/acp-13-5473-2013
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Extending legacy climate models by adaptive mesh refinement for single-component tracer transport: a case study with ECHAM6-HAMMOZ (ECHAM6.3-HAM2.3-MOZ1.0) Y. Chen et al. 10.5194/gmd-14-2289-2021
Saved (final revised paper)
Saved (final revised paper)
Latest update: 13 Dec 2024
Altmetrics
Final-revised paper
Preprint