Immersion freezing by natural dust based on a soccer ball model with the Community Atmospheric Model version 5: climate effects

• Published in: Environmental Research Letters
• Main Authors: Yong Wang, Xiaohong Liu
• Format: Article in Journal/Newspaper
• Language: English
• Published: IOP Publishing 2014
• Subjects: soccer ball model; natural dust; atmospheric model; climate effects; Environmental technology. Sanitary engineering; TD1-1066; Environmental sciences; GE1-350; Science; Q; Physics; QC1-999; Arctic
• Online Access: https://doi.org/10.1088/1748-9326/9/12/124020; https://doaj.org/article/107558995dca41cb912bb9903eb620ef

We introduce a simplified version of the soccer ball model (SBM) developed by Niedermeier et al (2014 Geophys. Res. Lett. http://dx.doi.org/10.1002/2013GL058684 41 http://dx.doi.org/10.1002/2013GL058684 ) into the Community Atmospheric Model version 5 (CAM5). It is the first time that SBM is used in an atmospheric model to parameterize the heterogeneous ice nucleation. The SBM, which was simplified for its suitable application in atmospheric models, uses the classical nucleation theory to describe the immersion/condensation freezing by dust in the mixed-phase cloud regime. Uncertain parameters (mean contact angle, standard deviation of contact angle probability distribution, and number of surface sites) in the SBM are constrained by fitting them to recent natural dust (Saharan dust) datasets. With the SBM in CAM5, we investigate the sensitivity of modeled cloud properties to the SBM parameters, and find significant seasonal and regional differences in the sensitivity among the three SBM parameters. Changes of mean contact angle and the number of surface sites lead to changes of cloud properties in Arctic in spring, which could be attributed to the transport of dust ice nuclei to this region. In winter, significant changes of cloud properties induced by these two parameters mainly occur in northern hemispheric mid-latitudes (e.g., East Asia). In comparison, no obvious changes of cloud properties caused by changes of standard deviation can be found in all the seasons. These results are valuable for understanding the heterogeneous ice nucleation behavior, and useful for guiding the future model developments.