Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3067-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3067-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jun 2019
Research article |
| 06 Jun 2019
| 06 Jun 2019
Revisiting particle sizing using greyscale optical array probes: evaluation using laboratory experiments and synthetic data
Sebastian J. O'Shea
CORRESPONDING AUTHOR
School of Earth and Environmental Sciences, University of
Manchester, Manchester, UK
Jonathan Crosier
School of Earth and Environmental Sciences, University of
Manchester, Manchester, UK
National Centre for Atmospheric Science, University of
Manchester, Manchester, UK
James Dorsey
School of Earth and Environmental Sciences, University of
Manchester, Manchester, UK
National Centre for Atmospheric Science, University of
Manchester, Manchester, UK
Waldemar Schledewitz
School of Earth and Environmental Sciences, University of
Manchester, Manchester, UK
Ian Crawford
School of Earth and Environmental Sciences, University of
Manchester, Manchester, UK
Stephan Borrmann
Particle Chemistry Department, Max Planck Institute for
Chemistry, Mainz, Germany
Institute for Atmospheric Physics, Johannes Gutenberg
University, Mainz, Germany
Richard Cotton
Met Office, Exeter, UK
Aaron Bansemer
National Center for Atmospheric Research, Boulder, CO,
USA
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Cited
11 citations as recorded by crossref.
- Characterising optical array particle imaging probes: implications for small-ice-crystal observations S. O'Shea et al. 10.5194/amt-14-1917-2021
- Sensitivity of ice nucleation parameterizations to the variability in underlying ice nucleation rate coefficients I. Steinke & S. Burrows 10.1039/D2EA00019A
- Technique for comparison of backscatter coefficients derived from in situ cloud probe measurements with concurrent airborne lidar S. Wagner & D. Delene 10.5194/amt-15-6447-2022
- Differences in microphysical properties of cirrus at high and mid-latitudes E. De La Torre Castro et al. 10.5194/acp-23-13167-2023
- Performance of optical sensors for cloud measurements deployed by the ARM Aerial Facility during ACE-ENA S. Glienke et al. 10.1364/AO.491401
- Sensitivities to biological aerosol particle properties and ageing processes: potential implications for aerosol–cloud interactions and optical properties M. Zhang et al. 10.5194/acp-21-3699-2021
- Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems S. Pfreundschuh et al. 10.5194/amt-15-677-2022
- Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development D. Finney et al. 10.5194/essd-16-2141-2024
- Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method M. Lukach et al. 10.5194/amt-14-1075-2021
- Particle size distribution measurements under supercooled large drop conditions with Cloud Combination Probe in CARDC icing wind tunnel X. Guo et al. 10.1016/j.powtec.2024.119378
- Measurements of Ice Crystal Fluxes from the Surface at a Mountain Top Site W. Schledewitz et al. 10.3390/atmos14030474
11 citations as recorded by crossref.
- Characterising optical array particle imaging probes: implications for small-ice-crystal observations S. O'Shea et al. 10.5194/amt-14-1917-2021
- Sensitivity of ice nucleation parameterizations to the variability in underlying ice nucleation rate coefficients I. Steinke & S. Burrows 10.1039/D2EA00019A
- Technique for comparison of backscatter coefficients derived from in situ cloud probe measurements with concurrent airborne lidar S. Wagner & D. Delene 10.5194/amt-15-6447-2022
- Differences in microphysical properties of cirrus at high and mid-latitudes E. De La Torre Castro et al. 10.5194/acp-23-13167-2023
- Performance of optical sensors for cloud measurements deployed by the ARM Aerial Facility during ACE-ENA S. Glienke et al. 10.1364/AO.491401
- Sensitivities to biological aerosol particle properties and ageing processes: potential implications for aerosol–cloud interactions and optical properties M. Zhang et al. 10.5194/acp-21-3699-2021
- Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems S. Pfreundschuh et al. 10.5194/amt-15-677-2022
- Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development D. Finney et al. 10.5194/essd-16-2141-2024
- Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method M. Lukach et al. 10.5194/amt-14-1075-2021
- Particle size distribution measurements under supercooled large drop conditions with Cloud Combination Probe in CARDC icing wind tunnel X. Guo et al. 10.1016/j.powtec.2024.119378
- Measurements of Ice Crystal Fluxes from the Surface at a Mountain Top Site W. Schledewitz et al. 10.3390/atmos14030474
Latest update: 23 Nov 2024
Short summary
Optical array probe measurements of clouds are widely used to inform and validate numerical weather and climate models. In this paper, we discuss artefacts which may bias data from these instruments. Using laboratory and synthetic datasets, we demonstrate how greyscale analysis can be used to filter data, constraining the sample volume and improving data quality particularly at small sizes where their measurements are considered unreliable.
Optical array probe measurements of clouds are widely used to inform and validate numerical...
