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Dataset: PPD-2K Particle shape and particle size distribution from DOME-C, Antarctica

Hamel, Adrian ORCID iD icon 1; Järvinen, Emma ORCID iD icon; del Guasta, Massimo; Schmitt, Carl G.; Schnaiter, Franz Martin ORCID iD icon
1 Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)

Abstract:

In-situ measurements of small atmospheric ice crystals (< 100 µm) on the Antarctic plateau are rare. Yet, small ice crystals are abundant in a region that often reaches cirrus temperatures even in the warmest season. The Particle Phase Discriminator (PPD-2K) was deployed on DOME-C, Antarctica during austral summer 2023/2024. It was used to characterize the microphysical and optical properties of individual ice fog and diamond dust ice crystals having spherical equivalent diameters between 11 and 150 µm. These properties included particle concentration, size distribution and spatial light scattering patterns in the forward direction that allow the analysis of the particle sphericity (particle phase), shape and crystal complexity.


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Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF)
Publikationstyp Forschungsdaten
Publikationsdatum 17.06.2025
Erstellungsdatum 21.11.2023 - 07.01.2024
Identifikator DOI: 10.35097/nexns3hhb7frf6gs
KITopen-ID: 1000182358
HGF-Programm 12.11.26 (POF IV, LK 01) Aerosol-Cloud-Climate-Interaction
Lizenz Creative Commons Namensnennung – Nicht kommerziell 4.0 International
Schlagwörter Diamond Dust, Ice Fog, Ice Particles, Particle Size Distribution, Particle Phase, PPD-2K
Liesmich

PPD-2K Size Distribution from 11-21-2023 094440 UTC until 01-07-2024 222452 UTC.

PPD flow: 5 lpm
Calibration coefficients: a = 2.02, b = 0.522 and c = 0
Note: Empty images and triggers that are triggered on noise are removed.

File 'DOME_C_final_level2': Concentration measurements (optical particle counter)
Data produced with 10 s averaging
1st Column: datetime in UTC
2nd Column: Ntot, Total concentration in 1/ccm
3rd Column: dNtot, Uncertainty in total concentration in 1/ccm
4th Column: Droplet_fraction
5th Column: Droplet_fraction upper Clopper-Pearson confidence interval
6th Column: Droplet_fraction lower Clopper-Pearson confidence interval
7th Column onwards: dN/dlogDp for spherical equivalent diameter size bins in 1st row
last Column: lidar classification (d: diamond dust, i: ice fog, m: mixed fog, l: liquid cloud precipitation)

File 'DOME_C_images_final_level2.csv': Diffraction pattern image analysis
Columns: Date,UTC time,Seconds of day,Image name,Folder name,Mean intensity,Saturation ratio,Sphere,Fit,Sphere diameter,FFT_0,FFT_1,FFT_2,FFT_3,FFT_4,FFT_5,FFT_6,FFT_7,FFT_8,k-value,Entropy,Contrast,Homogeneity,Correlation,Energy,combined roughness,Shape,Optical diameter,ICCD gain,Trigger gain,Trigger threshold,Trigger intensity,TOF,Norm Variance,Sum Sq Res Mie,CNN_shape

The CNN shapes correspond to:
0: Irregular
1: Large (or nearly saturated)
2: Pristine
3: Rough
4: Small Rough
5: Small (often triggered on noise)
6: Spherical
7: Sublimating

The shapes correspond to the maximum Fourier coefficient.
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