Articles | Volume 20, issue 5
https://doi.org/10.5194/acp-20-2967-2020
https://doi.org/10.5194/acp-20-2967-2020
Research article
 | 
12 Mar 2020
Research article |  | 12 Mar 2020

Convective distribution of dust over the Arabian Peninsula: the impact of model resolution

Jennie Bukowski and Susan C. van den Heever

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Cited articles

Alizadeh Choobari, O., Zawar-Reza, P., and Sturman, A.: Low level jet intensification by mineral dust aerosols, Ann. Geophys., 31, 625–632, https://doi.org/10.5194/angeo-31-625-2013, 2013. 
Almazroui, M.: Calibration of TRMM rainfall climatology over Saudi Arabia during 1998–2009, Atmos. Res., 99, 400–414, https://doi.org/10.1016/J.ATMOSRES.2010.11.006, 2011. 
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Babu, C. A., Jayakrishnan, P. R., and Varikoden, H.: Characteristics of precipitation pattern in the Arabian Peninsula and its variability associated with ENSO, Arab. J. Geosci., 9, 186, https://doi.org/10.1007/s12517-015-2265-x, 2016. 
Baddock, M. C., Strong, C. L., Leys, J. F., Heidenreich, S. K., Tews, E. K., and McTainsh, G. H.: A visibility and total suspended dust relationship, Atmos. Environ., 89, 329–336, https://doi.org/10.1016/J.ATMOSENV.2014.02.038, 2014. 
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This paper seeks to better our understanding of how dust storms are represented in a weather model. Depending on how well the model can represent the storm, it can change the dust forecast significantly. This is important for predictions of air quality and visibility; as dust can heat and cool the air in its environment, it is also crucial for calculating the Earth's energy budget. Here, we communicate the uncertainty in a dust model and the effect that it may have on dust forecasts.
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