Articles | Volume 15, issue 20
Atmos. Chem. Phys., 15, 11629–11652, 2015
https://doi.org/10.5194/acp-15-11629-2015
Atmos. Chem. Phys., 15, 11629–11652, 2015
https://doi.org/10.5194/acp-15-11629-2015
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

J. P. Perlwitz et al.

Related authors

Predicting the mineral composition of dust aerosols – Part 1: Representing key processes
J. P. Perlwitz, C. Pérez García-Pando, and R. L. Miller
Atmos. Chem. Phys., 15, 11593–11627, https://doi.org/10.5194/acp-15-11593-2015,https://doi.org/10.5194/acp-15-11593-2015, 2015
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Causal influences of El Niño–Southern Oscillation on global dust activities
Thanh Le and Deg-Hyo Bae
Atmos. Chem. Phys., 22, 5253–5263, https://doi.org/10.5194/acp-22-5253-2022,https://doi.org/10.5194/acp-22-5253-2022, 2022
Short summary
Formation, radiative forcing, and climatic effects of severe regional haze
Yun Lin, Yuan Wang, Bowen Pan, Jiaxi Hu, Song Guo, Misti Levy Zamora, Pengfei Tian, Qiong Su, Yuemeng Ji, Jiayun Zhao, Mario Gomez-Hernandez, Min Hu, and Renyi Zhang
Atmos. Chem. Phys., 22, 4951–4967, https://doi.org/10.5194/acp-22-4951-2022,https://doi.org/10.5194/acp-22-4951-2022, 2022
Short summary
Advances in air quality research – current and emerging challenges
Ranjeet S. Sokhi, Nicolas Moussiopoulos, Alexander Baklanov, John Bartzis, Isabelle Coll, Sandro Finardi, Rainer Friedrich, Camilla Geels, Tiia Grönholm, Tomas Halenka, Matthias Ketzel, Androniki Maragkidou, Volker Matthias, Jana Moldanova, Leonidas Ntziachristos, Klaus Schäfer, Peter Suppan, George Tsegas, Greg Carmichael, Vicente Franco, Steve Hanna, Jukka-Pekka Jalkanen, Guus J. M. Velders, and Jaakko Kukkonen
Atmos. Chem. Phys., 22, 4615–4703, https://doi.org/10.5194/acp-22-4615-2022,https://doi.org/10.5194/acp-22-4615-2022, 2022
Short summary
Large-eddy-simulation study on turbulent particle deposition and its dependence on atmospheric-boundary-layer stability
Xin Yin, Cong Jiang, Yaping Shao, Ning Huang, and Jie Zhang
Atmos. Chem. Phys., 22, 4509–4522, https://doi.org/10.5194/acp-22-4509-2022,https://doi.org/10.5194/acp-22-4509-2022, 2022
Short summary
Aerosol indirect effects in complex-orography areas: a numerical study over the Great Alpine Region
Anna Napoli, Fabien Desbiolles, Antonio Parodi, and Claudia Pasquero
Atmos. Chem. Phys., 22, 3901–3909, https://doi.org/10.5194/acp-22-3901-2022,https://doi.org/10.5194/acp-22-3901-2022, 2022
Short summary

Cited articles

Adedokum, J. A., Emofurieta, W. O., and Adedeji, O. A.: Physical, Mineralogical and Chemical Properties of Harmattan Dust at Ile-Ife, Nigeria, Theor. Appl. Climatol., 40, 161–169, https://doi.org/10.1007/BF00866179, 1989.
Alastuey, A., Querol, X., Castillo, S., Escudero, M., Avila, A., Cuevas, E., Torres, C., Romero, P.-M., Exposito, F., Garc\'ia, O., Diaz, J. P., Van Dingenen, R., and Putaud, J. P.: Characterisation of TSP and PM2.5 at Izaña and Sta. Cruz de Tenerife (Canary Islands, Spain) during a Saharan Dust Episode (July 2002), Atmos. Environ., 39, 4715–4728, https://doi.org/10.1016/j.atmosenv.2005.04.018, 2005.
Al-Awadhi, J. M. and AlShuaibi, A. A.: Dust fallout in Kuwait city: Deposition and characterization, Sci. Total Environ., 461–462, 139–148, https://doi.org/10.1016/j.scitotenv.2013.03.052, 2013.
Al-Dousari, A. M. and Al-Awadhi, J.: Dust fallout in Northern Kuwait, major sources and characteristics, Kuwait J. Sci., 39, 171–187, 2012.
Al-Dousari, A. M., Al-Awadhi, J., and Ahmed, M.: Dust fallout characteristics within global dust storm major trajectories, Arab. J. Geosci., 6, 3877–3884, https://doi.org/10.1007/s12517-012-0644-0, 2013.
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.
Altmetrics
Final-revised paper
Preprint