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Mineral dust and ice cloud observations from the Infrared Atmospheric Sounding Interferometer (IASI) are used to assess the\udrelationships between desert dust aerosols and ice clouds over the tropical Atlantic Ocean during the hurricane season 2008. Cloud\udproperty histograms are first adjusted for varying cloud top temperature or ice water path distributions with a Bayesian approach\udto account for meteorological constraints on the cloud variables. Then, histogram differences between dust load classes are used\udto describe the impact of dust load on cloud property statistics. The analysis of the histogram differences shows that ice crystal\udsizes are reduced with increasing aerosol load and ice cloud optical depth and ice water path are increased.The distributions of all\udthree variables broaden and get less skewed in dusty environments. For ice crystal size the significant bimodality is reduced and the\udorder of peaks is reversed.Moreover, it is shown that not only are distributions of ice cloud variables simply shifted linearly but also\udvariance, skewness, and complexity of the cloud variable distributions are significantly affected.This implies that the whole cloud\udvariable distributions have to be considered for indirect aerosol effects in any application for climate modelling

advances in meteorology

Large-Scale Analysis of Relationships between Mineral Dust, Ice Cloud Properties, and Precipitation from Satellite Observations Using a Bayesian Approach: Theoretical Basis and First Results for the Tropical Atlantic Ocean