Abstract
Abstract. Droplet formation provides a direct microphysical link between aerosols and clouds (liquid or mixed-phase), and its adequate description poses a major challenge for any atmospheric model. Observations are critical for evaluating and constraining the process. To this end, aerosol size distributions, cloud condensation nuclei (CCN), hygroscopicity, and lidar-derived vertical velocities were observed in alpine mixed-phase clouds during the Role of Aerosols and Clouds Enhanced by Topography on Snow (RACLETS) field campaign in the Davos, Switzerland, region during February and March 2019. Data from the mountain-top site of Weissfluhjoch (WFJ) and the valley site of Davos Wolfgang are studied. These observations are coupled with a state-of-the-art droplet activation parameterization to investigate the aerosol–cloud droplet link in mixed-phase clouds. The mean CCN-derived hygroscopicity parameter, κ, at WFJ ranges between 0.2–0.3, consistent with expectations for continental aerosols. κ tends to decrease with size, possibly from an enrichment in organic material associated with the vertical transport of fresh ultrafine particle emissions (likely from biomass burning) from the valley floor in Davos. The parameterization provides a droplet number that agrees with observations to within ∼ 25 %. We also find that the susceptibility of droplet formation to aerosol concentration and vertical velocity variations can be appropriately described as a function of the standard deviation of the distribution of updraft velocities, σw, as the droplet number never exceeds a characteristic limit, termed the “limiting droplet number”, of ∼ 150–550 cm−3, which depends solely on σw. We also show that high aerosol levels in the valley, most likely from anthropogenic activities, increase the cloud droplet number, reduce cloud supersaturation (< 0.1 %), and shift the clouds to a state that is less susceptible to changes in aerosol concentrations and very sensitive to vertical velocity variations. The transition from an aerosol to velocity-limited regime depends on the ratio of cloud droplet number to the limiting droplet number, as droplet formation becomes velocity limited when this ratio exceeds 0.65. Under such conditions, droplet size tends to be minimal, reducing the likelihood that large drops are present that would otherwise promote glaciation through rime splintering and droplet shattering. Identifying regimes where droplet number variability is dominated by dynamical – rather than aerosol – changes is key for interpreting and constraining when and which types of aerosol effects on clouds are active.
Highlights
Orographic clouds and the precipitation they generate play a major role in alpine weather and climate (e.g., Roe, 2005; Grubisic and Billings, 2008; Saleeby et al, 2013; Vosper et al, 2013; Lloyd et al, 2015)
The Naer data points of WFJ are colored by κ (Sect. 2.2), while the orange solid line is used as a trace for Wolfgang Pass (WOP) time series, as κ was not determined for the site owing to a lack of corresponding cloud condensation nuclei (CCN) measurements
Most of the time the concentrations at WOP are elevated with respect to WFJ because the Naer in the valley is influenced by local sources, which during this time of the year includes emissions from biomass burning (BB) (Lanz et al, 2010)
Summary
Orographic clouds and the precipitation they generate play a major role in alpine weather and climate (e.g., Roe, 2005; Grubisic and Billings, 2008; Saleeby et al, 2013; Vosper et al, 2013; Lloyd et al, 2015). An increase in CCN concentrations leads to more numerous and smaller cloud droplets, reducing the riming efficiency of ice crystals and the hydrometeor crystal mass and the amount of precipitation (Lohmann and Feichter, 2005; Lance et al, 2011; Lohmann, 2017). This mechanism counters the glaciation indirect effect, where increases in INP concentrations elevate ice crystal number concentration (ICNC) and promotes the conversion of liquid water to ice and the amount of ice-phase precipitation (Lohmann, 2002). Increases in CCN can decrease cloud droplet radius and impede cloud glaciation, owing to reductions in secondary ice production (SIP), which includes rime splintering, collisional break-up, and droplet shattering (Field et al, 2017; Sotiropoulou et al, 2020, 2021)
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