Received: 19 Oct 2018 – Accepted for review: 06 Nov 2018 – Discussion started: 12 Nov 2018
Abstract. Two different A-Train satellite cloud phase products were analysed together with an aerosol model reanalysis to assess the global day-to-day variability of cloud thermodynamic phase. This variability was analysed for different mixing-ratios of fine and coarse mineral dust during the period 2007–2010 and within a temperature range from +3 °C to −42 °C. Night‑time stratiform clouds were analysed, including stratocumulus, altocumulus, altostratus and cirrus clouds. This analysis showed that the phase of stratiform clouds is highly dependent on temperature and latitude. However, at equal temperature the average occurrence of fully glaciated stratiform clouds was found to increase for higher dust mixing-ratios on a day-to-day basis at mid- and high latitudes. At −15 °C, the increment of ice cloud occurrence between the lowest and highest mixing-ratio was found to be higher for fine dust (+10 % to +18 % occurrence) than for coarse dust (+5 % to +10 %). Surprisingly, the increments were higher in remote regions (e.g. southern high latitudes) where the average dust-mixing ratios are low.
How to cite. Villanueva, D., Heinold, B., Seifert, P., Deneke, H., Radenz, M., and Tegen, I.: The impact of mineral dust on the day-to-day variability of stratiform cloud glaciation occurrence, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2018-1074, 2018.
Two different satellite products were analysed together with an atmospheric composition model to assess the global frequency of ice and liquid stratiform clouds. This analysis showed that at equal temperature the average occurrence of fully glaciated stratiform clouds was found to increase for higher dust mixing-ratios on a day-to-day basis in the mid- and high latitudes. This indicates that mineral dust may have a strong impact in the occurrence of ice clouds even in remote areas.
Two different satellite products were analysed together with an atmospheric composition model to...