The WeIzmann Supercooled Droplets Observation on a Microarray (WISDOM) and application for ambient dust

Reicher, Nàama; Segev, Lior; Rudich, Yinon

doi:10.5194/amt-11-233-2018

Cited by 74 publications

(119 citation statements)

References 50 publications

(68 reference statements)

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“…This suggests that the active INP activity in these samples was dominated by K‐feldspar, even though it was not the most abundant mineral in these samples (Figure ). Our observations are consistent with the settled dust samples collected previously in Tel‐Aviv (Niemand et al, ) and with recent measurements of size‐resolved mineral dust by Reicher et al (). Samples Mar‐2 and Ant‐1 contained less effective INPs.…”

Section: Resultssupporting

confidence: 93%

“…The gray area is the Atkinson et al () estimation for ice nucleation activity of natural dust based on the typical abundance of K‐feldspar in soils. The hexagonal, triangle, and diamond light‐blue symbols are for the 3.2, 1.8, and 1 μm size resolved samples from Reicher et al (), respectively.…”

Section: Resultsmentioning

confidence: 99%

“…This group also contains higher fraction of iron oxides, which may be internally mixed or coat aerosol particles (Erel & Pehkonen, 1993;Takahashi et al, 2011). The samples presented by Reicher et al (2018) have a wide range of N m values, due to the size separation. The INP properties of dust with the larger diameter (3.2 μm, light blue hexagonal) are consistent with the samples of this work that show high ice nucleation activity (Sah 1-4 and Mar-1), while the smaller diameters dust (1 μm, light blue diamond) behave similarly to the samples that show lower ice nucleation activity.…”

Section: Immersion Freezing Measurementsmentioning

confidence: 99%

“…Ice nucleation activity was examined using the WeIzmann Supercooled Drops Observation on Microchip (WISDOM; Edd et al, 2009;Reicher et al, 2018). All samples were analyzed at a 0.01 wt%.…”

Section: Immersion Mode Ice Nucleation Activitymentioning

confidence: 99%

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The Role of Secondary Ice Processes in Midlatitude Continental Clouds

et al. 2018

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Clouds contribute very large uncertainties to our understanding of Earth's climate system. This is partly attributed to the insufficient predictive abilities of ice formation processes in clouds and the ramifications for the hydrological cycle and climate. To improve predictions of ice particle concentrations in clouds, a better understanding of the relative contributions of ice nucleating particles and secondary ice processes (SIPs) is needed. To address this challenging question, we combine ice nucleation measurements via immersion freezing of particles filtered from rainwater, with satellite‐retrieved cloud top glaciation temperatures (Tg) of the same clouds, while considering the chemical composition of the rainwater, the particles, and the particles' mass loads. In addition, laboratory‐derived ice nucleation parameterization of K‐feldspar was implemented in an ice nucleation model in order to reconstruct Tg considering primary ice nucleation only. We show that the observed Tg does not correlate with the median freezing temperature of the drops from the laboratory measurements froze (T50), and are significantly warmer than the model prediction. This suggests that SIP play a major role in glaciating the investigated clouds system. Furthermore, we show that the difference between Tg and T50 best correlates with the size of the cloud droplets at −5 °C, indicating that SIP is controlled by cloud droplet sizes. Hence, our results suggest that the effect of SIP on Tg, and therefore on Earth's radiation budget, may be significant.

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Section: Resultssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Section: Immersion Freezing Measurementsmentioning

confidence: 99%

“…Ice nucleation activity was examined using the WeIzmann Supercooled Drops Observation on Microchip (WISDOM; Edd et al, 2009;Reicher et al, 2018). All samples were analyzed at a 0.01 wt%.…”

Section: Immersion Mode Ice Nucleation Activitymentioning

confidence: 99%

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The Role of Secondary Ice Processes in Midlatitude Continental Clouds

et al. 2018

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“…The WISDOM setup (Reicher et al, 2018) was used to study the immersion freezing of the fine CFA fraction. WISDOM is a freezing array of monodisperse nanoliter droplets that are produced on a microfluidic device and subsequently arrange into an …”

Section: Wisdommentioning

confidence: 99%

Coal fly ash: Linking immersion freezing behavior and physico-chemical particle properties

Grawe¹,

Augustin-Bauditz²,

Clemen³

et al. 2018

Preprint

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Abstract.To date, only a few studies have investigated the potential of coal fly ash particles to trigger heterogeneous ice nucleation in cloud droplets. The presented measurements aim at expanding the sparse dataset and improving process understanding of how physico-chemical particle properties influence the freezing behavior of coal fly ash particles immersed in water.Firstly, immersion freezing measurements were performed with two single particle techniques, i.e., the Leipzig Aerosol 5Cloud Interaction Simulator and the Spectrometer for Ice Nuclei. The effect of suspension time on the efficiency of the coal fly ash particles when immersed in a cloud droplet is analyzed based on the different residence times of the two instruments and employing both dry and wet particle generation. Secondly, two cold stage setups, one using microliter sized droplets (Leipzig Ice Nucleation Array) and one using nanoliter sized droplets (Weizman Supercooled Droplets Observation on Microarray setup) were applied. 10We found that coal fly ash particles are comparable to mineral dust in their immersion freezing behavior when being dry-generated. However, a significant decrease in immersion freezing efficiency was observed during experiments with wetgenerated particles in LACIS and SPIN. The efficiency of wet-generated particles is in agreement with the cold stage measurements. In order to understand the reason behind the deactivation, a series of chemical composition, morphology, and crystallography analyses (single particle mass spectrometry, scanning electron microscopy coupled with energy dispersive X-15 ray microanalysis, X-ray diffraction analysis) was performed with dry-and wet-generated particles. From these investigations, we conclude that anhydrous CaSO 4 and CaO, which, if investigated in pure form, show the same qualitative immersion freezing behavior as observed for dry-generated coal fly ash particles, contribute to triggering heterogeneous ice nucleation at the particle-water interface. The observed deactivation in contact with water is related to changes of the particle surface properties 1 Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-583 Manuscript under review for journal Atmos. Chem. Phys. Discussion started: 3 July 2018 c Author(s) 2018. CC BY 4.0 License. which are potentially caused by hydration of CaSO 4 and CaO. The contribution of coal fly ash to the ambient population of ice nucleating particles therefore depends on whether and for how long particles are immersed in cloud droplets.

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Highly active ice-nucleating particles at the summer North Pole

Porter

Adams

Brooks

et al. 2021

Preprint

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The Arctic climate is strongly influenced by ubiquitous low-level mixed-phase clouds (Kay & L'Ecuyer, 2013;Tjernstrom et al., 2012;Vüllers et al., 2021). The radiative effect of these clouds is influenced by the amount of ice and supercooled water they contain, which depends on an intricate balance of dynamical and microphysical processes (Morrison et al., 2012). Realistic representation of these processes is needed to correct model

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The WeIzmann Supercooled Droplets Observation on a Microarray (WISDOM) and application for ambient dust

Cited by 74 publications

References 50 publications

The Role of Secondary Ice Processes in Midlatitude Continental Clouds

The Role of Secondary Ice Processes in Midlatitude Continental Clouds

Coal fly ash: Linking immersion freezing behavior and physico-chemical particle properties

Highly active ice-nucleating particles at the summer North Pole

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