ArticleScience advances2022
Ice-nucleating agents in sea spray aerosol identified and quantified with a holistic multimodal freezing model.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Short-term exposure to ammonium sulfate modifies ice nucleation by alpha-alumina but not organic monolayers or microplastics.Environmental science: atmospheres · 2026Article
- Polysaccharides─Important Constituents of Ice-Nucleating Particles of Marine Origin.Environmental science & technology · 2025Article
- Microfluidics for the biological analysis of atmospheric ice-nucleating particles: Perspectives and challenges.Biomicrofluidics · 2025Review
- Quantifying and Modeling the Impact of Phase State on the Ice Nucleation Abilities of 2-Methyltetrols as a Key Component of Secondary Organic Aerosol Derived from Isoprene Epoxydiols.Environmental science & technology · 2024Article
- Formation of Sodium Chloride on the Surface of Sulfate-Rich Gobi Desert Salt in Response to Water Adsorption.ACS ES&T air · 2024Article
- Effect of Acidity on Ice Nucleation by Inorganic-Organic Mixed Droplets.ACS earth & space chemistry · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Sea spray aerosol (SSA) is a widely recognized important source of ice-nucleating particles (INPs) in the atmosphere. However, composition-specific identification, nucleation processes, and ice nucleation rates of SSA-INPs have not been well constrained. Microspectroscopic characterization of ambient and laboratory-generated SSA confirms that water-borne exudates from planktonic microorganisms composed of a mixture of proteinaceous and polysaccharidic compounds act as ice-nucleating agents (INAs). These data and data from previously published mesocosm and wave channel studies are subsequently used to further develop the stochastic freezing model (SFM) producing ice nucleation rate coefficients for SSA-INPs. The SFM simultaneously predicts immersion freezing and deposition and homogeneous ice nucleation by SSA particles under tropospheric conditions. Predicted INP concentrations agree with ambient and laboratory measurements. In addition, this holistic freezing model is independent of the source and exact composition of the SSA particles, making it well suited for implementation in cloud and climate models.
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Registered trials
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