Articles | Volume 15, issue 20
https://doi.org/10.5194/acp-15-11593-2015
© 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-15-11593-2015
© 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 1: Representing key processes
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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- 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
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- 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
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- Observations and Cloud‐Resolving Modeling of Haboob Dust Storms Over the Arabian Peninsula A. Anisimov et al. 10.1029/2018JD028486
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- Predicting the mineral composition of dust aerosols – Part 2: Model evaluation and identification of key processes with observations J. Perlwitz et al. 10.5194/acp-15-11629-2015
- 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
- Global scale variability of the mineral dust long-wave refractive index: a new dataset of in situ measurements for climate modeling and remote sensing C. Di Biagio et al. 10.5194/acp-17-1901-2017
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Ice Nucleating Particle Connections to Regional Argentinian Land Surface Emissions and Weather During the Cloud, Aerosol, and Complex Terrain Interactions Experiment B. Testa et al. 10.1029/2021JD035186
- 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
- Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
- Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. 10.1029/2021RG000745
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- 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
- Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4 L. Menut et al. 10.5194/gmd-13-2051-2020
- Sense size‐dependent dust loading and emission from space using reflected solar and infrared spectral measurements: An observation system simulation experiment X. Xu et al. 10.1002/2017JD026677
- Phosphorus Speciation in Atmospherically Deposited Particulate Matter and Implications for Terrestrial Ecosystem Productivity P. O’Day et al. 10.1021/acs.est.9b06150
- Role of Feldspar and Pyroxene Minerals in the Ice Nucleating Ability of Three Volcanic Ashes L. Jahn et al. 10.1021/acsearthspacechem.9b00004
- 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
- Bioavailable atmospheric phosphorous supply to the global ocean: a 3-D global modeling study S. Myriokefalitakis et al. 10.5194/bg-13-6519-2016
- Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK G. Porter et al. 10.5194/amt-13-2905-2020
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Latest update: 13 Dec 2024
Short summary
The mineral composition of dust aerosols is modeled. The mineral composition is derived by extending a method that provides the composition of wet-sieved soil to account for differences between the mineral fractions of the wet-sieved soil and the resulting aerosol concentration. An empirical constraint upon the relative emission of clay and silt is applied that further differentiates soil and aerosol mineral composition. A method is proposed for mixing minerals with iron oxide impurities.
The mineral composition of dust aerosols is modeled. The mineral composition is derived by...
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