Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4391-2023
https://doi.org/10.5194/acp-23-4391-2023
Research article
 | 
13 Apr 2023
Research article |  | 13 Apr 2023

The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations

Pantelis Kiriakidis, Antonis Gkikas, Georgios Papangelis, Theodoros Christoudias, Jonilda Kushta, Emmanouil Proestakis, Anna Kampouri, Eleni Marinou, Eleni Drakaki, Angela Benedetti, Michael Rennie, Christian Retscher, Anne Grete Straume, Alexandru Dandocsi, Jean Sciare, and Vasilis Amiridis

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Cited articles

Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C., and Gumley, L. E.: Discriminating clear sky from clouds with MODIS, J. Geophys. Res.-Atmos., 103, 32141–32157, 1998. a
Ahmadov, R., McKeen, S. A., Robinson, A. L., Bahreini, R., Middlebrook, A. M., De Gouw, J. A., Meagher, J., Hsie, E. Y., Edgerton, E., Shaw, S., and Trainer, M.: A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006, J. Geophys. Res.-Atmos., 117, D06301, https://doi.org/10.1029/2011JD016831, 2012. a
Alonso-Pérez, S., Cuevas, E., Querol, X., Guerra, J. C., and Pérez, C.: African dust source regions for observed dust outbreaks over the Subtropical Eastern North Atlantic region, above 25 N, J. Arid Environ., 78, 100–109, 2012. a
Alpert, P., Kishcha, P., Shtivelman, A., Krichak, S., and Joseph, J.: Vertical distribution of Saharan dust based on 2.5-year model predictions, Atmos. Res., 70, 109–130, 2004. a
Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., and Ansmann, A.: Optimizing CALIPSO Saharan dust retrievals, Atmos. Chem. Phys., 13, 12089–12106, https://doi.org/10.5194/acp-13-12089-2013, 2013. a
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Short summary
With the launch of the Aeolus satellite, higher-accuracy wind products became available. This research was carried out to validate the assimilated wind products by testing their effect on the WRF-Chem model predictive ability of dust processes. This was carried out for the eastern Mediterranean and Middle East region for two 2-month periods in autumn and spring 2020. The use of the assimilated products improved the dust forecasts of the autumn season (both quantitatively and qualitatively).
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