Articles | Volume 15, issue 20
https://doi.org/10.5194/acp-15-11629-2015
© Author(s) 2015. 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-15-11629-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Oct 2015
Research article |
| 21 Oct 2015
Predicting the mineral composition of dust aerosols – Part 2: Model evaluation and identification of key processes with observations
Department of Applied Physics and Applied Mathematics, Columbia University in The City of New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
C. Pérez García-Pando
Department of Applied Physics and Applied Mathematics, Columbia University in The City of New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
R. L. Miller
Department of Applied Physics and Applied Mathematics, Columbia University in The City of New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
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44 citations as recorded by crossref.
- EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. 10.5194/gmd-14-5637-2021
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- Pre‐Industrial, Present and Future Atmospheric Soluble Iron Deposition and the Role of Aerosol Acidity and Oxalate Under CMIP6 Emissions E. Bergas‐Massó et al. 10.1029/2022EF003353
- Mineralogy and mixing state of north African mineral dust by online single-particle mass spectrometry N. Marsden et al. 10.5194/acp-19-2259-2019
- Ship-Based Contributions to Global Ocean, Weather, and Climate Observing Systems S. Smith et al. 10.3389/fmars.2019.00434
- Measurement report: The Urmia playa as a source of airborne dust and ice-nucleating particles – Part 1: Correlation between soils and airborne samples N. Hamzehpour et al. 10.5194/acp-22-14905-2022
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Interactions of Water with Mineral Dust Aerosol: Water Adsorption, Hygroscopicity, Cloud Condensation, and Ice Nucleation M. Tang et al. 10.1021/acs.chemrev.5b00529
- Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. 10.5194/gmd-12-3835-2019
- The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
- Predicting the mineral composition of dust aerosols: Insights from elemental composition measured at the Izaña Observatory C. Pérez García‐Pando et al. 10.1002/2016GL069873
- Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. 10.5194/acp-22-1395-2022
- Multiphase processes in the EC-Earth model and their relevance to the atmospheric oxalate, sulfate, and iron cycles S. Myriokefalitakis et al. 10.5194/gmd-15-3079-2022
- Direct radiative effects during intense Mediterranean desert dust outbreaks A. Gkikas et al. 10.5194/acp-18-8757-2018
- Arabian Red Sea coastal soils as potential mineral dust sources P. Jish Prakash et al. 10.5194/acp-16-11991-2016
- Historical (1850–2014) Aerosol Evolution and Role on Climate Forcing Using the GISS ModelE2.1 Contribution to CMIP6 S. Bauer et al. 10.1029/2019MS001978
- Atmospheric processing of iron in mineral and combustion aerosols: development of an intermediate-complexity mechanism suitable for Earth system models R. Scanza et al. 10.5194/acp-18-14175-2018
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
- Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. 10.1029/2021RG000745
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- Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds M. Chatziparaschos et al. 10.5194/acp-23-1785-2023
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. 10.5194/acp-23-8623-2023
- Comments on ‘Influence of measurement uncertainties on fractional solubility of iron in mineral aerosols over the oceans’ Aeolian Research 22, 85–92 R. Raiswell et al. 10.1016/j.aeolia.2017.03.003
- Role of Feldspar and Pyroxene Minerals in the Ice Nucleating Ability of Three Volcanic Ashes L. Jahn et al. 10.1021/acsearthspacechem.9b00004
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- Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. 10.5194/acp-21-3973-2021
- The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016) E. Di Tomaso et al. 10.5194/essd-14-2785-2022
- Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
- Perspective on identifying and characterizing the processes controlling iron speciation and residence time at the atmosphere-ocean interface N. Meskhidze et al. 10.1016/j.marchem.2019.103704
- Spatial and seasonal variability in fine mineral dust and coarse aerosol mass at remote sites across the United States J. Hand et al. 10.1002/2016JD026290
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- Investigating water adsorption onto natural mineral dust particles: Linking DRIFTS experiments and BET theory N. Joshi et al. 10.1016/j.aeolia.2017.06.001
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- Spectral- and size-resolved mass absorption efficiency of mineral dust aerosols in the shortwave spectrum: a simulation chamber study L. Caponi et al. 10.5194/acp-17-7175-2017
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Short summary
A global compilation from nearly sixty measurement studies is used to evaluate two methods of simulating the mineral composition of dust aerosols. Dust emission based on wet-sieved soil is assumed for the first method. The second method reconstructs the aggregates and size distribution of the emitted dust aerosols. Only the second method is able to reproduce observed phyllosilicate fractions in the silt size range and reduces quartz overestimation. Substantial uncertainties remain.
A global compilation from nearly sixty measurement studies is used to evaluate two methods of...
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