Research Data Leeds Repository
Dataset associated with “Ice-nucleating particle and cloud ice crystal concentrations associated with developing summertime deep convective clouds in south-western USA” by Daily et al, 2026
Citation
Daily, Martin I., Robinson, Joseph, Finney, Declan, Raif, Erin, McQuaid, James B., Hu, Kezhen, Lloyd, Gary, Murray, Benjamin J. and Blyth, Alan (2026) Dataset associated with “Ice-nucleating particle and cloud ice crystal concentrations associated with developing summertime deep convective clouds in south-western USA” by Daily et al, 2026. University of Leeds. [Dataset] https://doi.org/10.5518/1815
Dataset description
This is the data presented and analysed in Daily et al, 2026: “Ice-nucleating particle and cloud ice crystal concentrations associated with developing summertime deep convective clouds in south-western USA” Journal of Geophysical Research (Atmospheres), DOI: 10.1029/2024JD043236. It contains aerosol filter and cloud ice crystal concentration data collected from the UK’s FAAM airborne laboratory BAe-146 aircraft as part of the 2022 DCMEX campaign in New Mexico, USA. The dataset contains the filter sampling metadata, INP concentrations (both concentrations and freezing temperatures obtained in the experiments from sampling runs and handling blanks) and SEM-EDS data (size distributions from both SEM and optical probes, as well as EDS size-resolved composition fractions). Also contained are the cloud penetration and ice crystal number concentration data collected using an underwing HVPS-3 hydrometer imaging probe.
| Subjects: | F000 - Physical sciences > F600 - Geology > F640 - Earth science > F646 - Land-atmosphere interactions F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F760 - Climatology > F762 - Large-scale atmospheric dynamics & transport |
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| Divisions: | Faculty of Environment > School of Earth and Environment Faculty of Environment > School of Earth and Environment > Institute for Climate and Atmospheric Science |
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| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
| Date deposited: | 24 Apr 2026 13:04 | ||||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1540 | ||||||



README_DAILY-etal_2026.txt [7kB]
README_DAILY-etal_2026.txt [7kB]