Microphysical detection of nano-ice nuclei to ice crystals: a platform for ice nucleation research
Abstract Atmospheric ice nucleation plays a crucial role in cloud formation, precipitation, and climate dynamics. However, the physicochemical properties of submicron ice nucleating particles (INPs) remain poorly understood, and distinguishing between nano- to micron-sized ice crystals and supercool...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Climate and Atmospheric Science |
| Online Access: | https://doi.org/10.1038/s41612-025-01062-4 |
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| Summary: | Abstract Atmospheric ice nucleation plays a crucial role in cloud formation, precipitation, and climate dynamics. However, the physicochemical properties of submicron ice nucleating particles (INPs) remain poorly understood, and distinguishing between nano- to micron-sized ice crystals and supercooled droplets in cloud microphysical processes remains a significant challenge. Here, we present the first detection of nano-sized ice crystals (390 nm) along with their physical properties using a portable platform for ice nucleation that integrates the McGill Real-time Ice Nucleation Chamber (MRINC) with advanced holographic microscopy and aerosol sizers. This platform enables real-time detection and differentiation of ice crystals and supercooled droplets, providing microphysical information into their spherical or non-spherical morphology, surface roughness, and phase characteristics, particularly for ice particles smaller than 500 nm. Automated algorithms facilitate the differentiation of individual and aggregated ice crystals within a size range of 390 nm to 100 µm, supporting time-resolved analyses of ice nucleation processes. Surface roughness (Rt, Ra) measurements and 3D structural data offer critical insights into light scattering and radiation interactions, with smaller ice crystals (<1 µm) exhibiting higher roughness and enhanced multidirectional scattering. Validation through computational fluid dynamics simulations and experiments demonstrates platform ability to differentiate silver iodide-nucleated ice crystals from supercooled droplets and to monitor aerosol growth, advancing our understanding of aerosol-cloud-radiation interactions. |
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| ISSN: | 2397-3722 |