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  2. SID-3 Liquid and Ice Phase Particle Size Distributions measured during ACLOUD
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    Datenpaket: SID-3 Liquid and Ice Phase Particle Size Distributions measured during ACLOUD

    Alternativer Identifier:
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    Verwandter Identifier:
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    Ersteller/in:
    Järvinen, Emma https://orcid.org/0000-0001-5171-1759 [Atmosphärische Aerosolforschung]

    Schnaiter, M. https://orcid.org/0000-0002-9560-8072 [Atmosphärische Aerosolforschung]
    Beitragende:
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    Titel:
    SID-3 Liquid and Ice Phase Particle Size Distributions measured during ACLOUD
    Weitere Titel:
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    Beschreibung:
    (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. Multiplication of those number-based fractions with the total particle size distribution yields phase-specific particle size distribution. The uncertainty due to the fact that the imaged particles are a subset of all sampled particles can be estimated from the Clopper–Pearson confidence limits. The data was collected during the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, which was conducted northwest of Svalbard (Norway) between May 23 and June 6, 2017. The measurement area comprises an area north of Svalbard, approximately between 78 and 82°N. The SID-3 instrument was installed in the Polar-6 aircraft during the ACLOUD campaign. The data is in NetCDF format and contains the total number concentration, the total particle size distribution, the total number of aspherical particles, the aspherical particle size distribution, the total number of spherical particles, the spherical particle size distribution and the upper and lower limits for the total aspherical and spherical particles and aspherical and spherical particle size distributions calculated using Clopper–Pearson confidence limits.
    (Technical Remarks) 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
    Schlagworte:
    Arctic
    mixed-phase
    clouds
    ice crystals
    small ice
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    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Geological Science
    Objekttyp:
    Dataset
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    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-07-04
    Archivgröße:
    22,2 MB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    72d2895c996cdec2d2817e4f5a8058a0 (MD5)
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