Next-Generation Optical Instrumentation for Comprehensive Aerosol and Cloud Characterization
MATTHEW FREER, CloudSci
Abstract Number: 534
Working Group: Instrumentation and Methods
Abstract
Innovations in atmospheric particle measurement must keep pace with emerging needs in air-quality management, climate research, and biodefence. CloudSci is advancing a complementary suite of optical sensors aimed at delivering size-resolved, composition-sensitive data across the full aerosol–cloud particle size range. This poster provides a first look at four new platforms—spanning prototype to proof-of-concept stage—and the companion analysis tools that underpin real-time data reduction.
Passive Aerosol Imager (PAI). PAI integrates digital in-line holography with an open-path sample volume to passively record scattering patterns of ambient particles from ~1 µm to 200 µm. A machine-vision pipeline based on convolution converts raw holograms into size, aspect-ratio, and spatial distributions in less than 1 second per frame, enabling continuous coarse-mode monitoring without sampling artefacts.
Aerosol Multi-Angle Sizing Spectrometer (A-MASS). A-MASS will be an aircraft-mounted particle sizing probe (0.1–1 µm). We present initial sizing and concentration results for various laboratory-generated aerosols and plans for future field testing.
Marine Cloud Condensation Nuclei Counter. In response to the need for lower-power, autonomous marine CCN instrumentation, the MCCNC employs a thermal gradient diffusion chamber design in a compact footprint. Initial results from proof-of-concept testing are presented.
Single Aerosol Particle Spectrometer (SAPS). SAPS leverages a particle collection and trapping system to confine individual super-µm particles at ambient humidity and perform Raman spectroscopy. Initial spectra of test particles and particle collection efficiency rates are examined.
The poster will present first-light datasets from a range of laboratory and field deployments, performance intercomparisons, and uncertainty analysis. Anticipated applications include: (i) real-time allergen and spore surveillance, (ii) aerosol–cloud interaction research, (iii) improved source apportionment in coarse-particle air-quality episodes, and (iv) rapid bioaerosol threat identification. Collectively, these technologies aim to lower logistical barriers while expanding the dimensionality of in-situ aerosol and cloud observations.