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SID-3 Liquid and Ice Phase Particle Size Distributions measured during ACLOUD

Järvinen, Emma ORCID iD icon 1; Schnaiter, M. ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)

Abstract:

This data set contains particle size distributions of spherical and aspherical cloud particles between 5 and 45 microns with a 10-second time resolution calculated from the Small Ice Detector Mark 3 (SID-3). The SID-3 detects individual cloud particles passing a 532 nm laser beam using two nested trigger detectors. The trigger signal is recorded as a histogram with a maximum rate of 11 kHz that can be used to derive particle size distributions by using the procedure described in Vochezer et al. (2016), doi:10.5194/amt-9-159-2016. For a sub-set of triggered particles a two-dimensional (2-D) scattering pattern is recorded that can be analysed for particle sphericity by a specifically developed image analysis software. Occasionally, coincidence sampling in the camera field of view causes optical distortions of the 2-D scattering patterns of liquid droplets and, consequently, a misclassification of such scattering patterns to be aspherical by the classification software. For the subsequent identification and re-classification of coincidence scattering patterns a machine learning (ML) algorithm was developed.
From the numbers of observed spherical and aspherical 2-D scattering patterns the fractions of spherical and aspherical particles are derived. ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF)
Publikationstyp Forschungsdaten
Publikationsdatum 04.07.2023
Erstellungsdatum 29.06.2023 - 29.06.2023
Identifikator DOI: 10.35097/1602
KITopen-ID: 1000159945
HGF-Programm 12.11.26 (POF IV, LK 01) Aerosol-Cloud-Climate-Interaction
Lizenz Creative Commons Namensnennung 4.0 International
Vorab online veröffentlicht am 29.06.2023
Schlagwörter Arctic, mixed-phase, clouds, ice crystals, small ice
Liesmich

The data is in a NetCDF format. The file contains the following variables:
time_sec_af_midn: time as seconds after midnight
T: temperature in degree Celsius
altitude: flight altitude
bin_midpoints: bin midpoint diameters in µm - droplets
bin_ice_midpoints: bin midpoint diameters in µm - ice
bin_endpoints: bin endpoint diameters in µm - droplets
bin_ice_endpoints: bin endpoint diameters in µm - ice
Ntot_drop: Total concentration in particles per cubic centimeter – droplets
dNtot_drop_upper: Clopper-Pearson confidence upper limit – droplets
dNtot_drop_lower: Clopper-Pearson confidence lower limit – droplets
Ntot_ice: Total concentration in particles per cubic centimeter – ice
dNtot_ice_upper: Clopper-Pearson confidence upper limit – ice
dNtot_ice_lower: Clopper-Pearson confidence lower limit – ice
PSD_all: Particle size distribution – ALL particles
PSD_ice: Particle size distribution – ice
PSD_ice_upper: Clopper-Pearson confidence upper limit - Particle size distribution – ice
PSD_ice_lower: Clopper-Pearson confidence lower limit - Particle size distribution – ice
PSD_drop: Particle size distribution – Droplets
PSD_drop_upper: Clopper-Pearson confidence upper limit - Particle size distribution – Droplets
PSD_drop_lower: Clopper-Pearson confidence lower limit - Particle size distribution – Droplets
NDropImag: Number of droplet images used to construct particle size distribution
NIceImag: Number of ice images used to construct particle size distribution
d_eff_ice: Effective diameter – ice
d_eff_drop: Effective diameter – droplets
IWC: Ice water content assuming a sphere
LWC: Liquid water content
LWC_upper: Liquid water content upper limit – sphere. Calculated using Clopper-Pearson confidence lower limit.
LWC_lower: Liquid water content lower limit – sphere. Calculated using Clopper-Pearson confidence lower limit.
b_ext_drop: Extinction coefficient - droplets
b_ext_ice: Extinction coefficient - ice

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