Articles | Volume 16, issue 17
Atmos. Chem. Phys., 16, 11367–11378, 2016
https://doi.org/10.5194/acp-16-11367-2016
Atmos. Chem. Phys., 16, 11367–11378, 2016
https://doi.org/10.5194/acp-16-11367-2016
Research article
14 Sep 2016
Research article | 14 Sep 2016

Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model

Slobodan Nickovic et al.

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Cited articles

Atkinson, J. D., Murray, B. J., Woodhouse, M. T., Whale, T. F., Baustian, K. J., Carslaw, K. S., Dobbie, S., O'Sullivan, D., and Malkin, T. L.: The importance of feldspar for ice nucleation bymineral dust in mixed-phase clouds, Nature, 498, 355–358, 2013.
Ault, A. P., Williams, C. R., White, A. B., Neiman, P. J., Creamean, J. M., Gaston, C. J., Ralph, F. M., and Prather, K. A.: Detection of Asian dust in California orographic precipitation, J. Geophys. Res.-Atmos., 116, D16205, https://doi.org/10.1029/2010JD015351, 2011.
Borg, L. A., Holz, R. E., and Turner, D. D.: Investigating cloud radar sensitivity to optically thin cirrus using collocated Raman lidar observations, Geophys. Res. Lett., 38, L05807, https://doi.org/10.1029/2010GL046365, 2011.
Burton, S. P., Ferrare, R. A., Vaughan, M. A., Omar, A. H., Rogers, R. R., Hostetler, C. A., and Hair, J. W.: Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask, Atmos. Meas. Tech., 6, 1397–1412, https://doi.org/10.5194/amt-6-1397-2013, 2013.
Creamean, J. M., Ault, A. P., White, A. B., Neiman, P. J., Ralph, F. M., Minnis, P., and Prather, K. A.: Impact of interannual variations in sources of insoluble aerosol species on orographic precipitation over California's central Sierra Nevada, Atmos. Chem. Phys., 15, 6535–6548, https://doi.org/10.5194/acp-15-6535-2015, 2015.
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Specific physical and mineralogical properties of desert dust particles cause extremely efficient production of ice crystals in clouds, thus influencing climate and weather even in regions far from dust sources. This study describes a methodology for predicting conditions of cold cloud formation due to dust. This approach required development of an integrated dust-atmospheric modelling system, designed to improve operational forecasts of weather in general, and cloud/precipitation in particular.
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