Articles | Volume 20, issue 22
Atmos. Chem. Phys., 20, 13835–13855, 2020
https://doi.org/10.5194/acp-20-13835-2020
Atmos. Chem. Phys., 20, 13835–13855, 2020
https://doi.org/10.5194/acp-20-13835-2020
Research article
17 Nov 2020
Research article | 17 Nov 2020

Understanding processes that control dust spatial distributions with global climate models and satellite observations

Mingxuan Wu et al.

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Cited articles

Allen, R. J. and Landuyt, W.: The vertical distribution of black carbon in CMIP5 models: Comparison to observations and the importance of convective transport, J. Geophys. Res.-Atmos., 119, 4808–4835, https://doi.org/10.1002/2014JD021595, 2014. 
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Arimoto, R., Duce, R. A., Savoie, D. L., Prospero, J. M., Talbot, R., Cullen, J. D., Tomza, U., Lewis, N. F., and Ray, B. J.: Relationships among aerosol constituents from Asia and the North Pacific during PEM-West A, J. Geophys. Res., 101, 2011–2023, https://doi.org/10.1029/95JD01071, 1996. 
Baddock, M. C., Ginoux, P., Bullard, J. E., and Gill, T. E.: Do MODIS-defined dust sources have a geomorphological signature?, Geophys. Res. Lett., 43, 2606–2613, https://doi.org/10.1002/2015GL067327, 2016. 
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The spatiotemporal distributions of dust aerosol simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate dust extinction profiles, optical depth, and surface concentrations simulated in three GCMs and one reanalysis against multiple satellite retrievals and surface observations to gain process-level understanding. Our results highlight the importance of correctly representing dust emission, dry/wet deposition, and size distribution in GCMs.
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