Journal cover Journal topic
Annales Geophysicae An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.490 IF 1.490
  • IF 5-year value: 1.445 IF 5-year
    1.445
  • CiteScore value: 2.9 CiteScore
    2.9
  • SNIP value: 0.789 SNIP 0.789
  • IPP value: 1.48 IPP 1.48
  • SJR value: 0.74 SJR 0.74
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 88 Scimago H
    index 88
  • h5-index value: 21 h5-index 21
Volume 15, issue 6
Ann. Geophys., 15, 840–846, 1997
https://doi.org/10.1007/s00585-997-0840-5
© European Geosciences Union 1997
Ann. Geophys., 15, 840–846, 1997
https://doi.org/10.1007/s00585-997-0840-5
© European Geosciences Union 1997

  30 Jun 1997

30 Jun 1997

A statistical analysis for pattern recognition of small cloud particles sampled with a PMS-2DC probe

A. Fouilloux1, J. Iaquinta2, C. Duroure1, and F. Albers3 A. Fouilloux et al.
  • 1LAMP, 24 avenue des Landais, F-63177 Aubière Cedex, France
  • 2Currently on leave from LAMP
  • 3GKSS Research Center, Max-Planck Strasse, D-21502 Geesthacht, Germany

Abstract. Although small particles (size between 25 µm and 200 µm) are frequently observed within ice and water clouds, they are not generally used properly for the calculation of structural, optical and microphysical quantities. Actually neither the exact shape nor the phase (ice or water) of these particles is well defined since the existing pattern recognition algorithms are only efficient for larger particle sizes. The present study describes a statistical analysis concerning small hexagonal columns and spherical particles sampled with a PMS-2DC probe, and the corresponding images are classified according to the occurrence probability of various pixels arrangements. This approach was first applied to synthetic data generated with a numerical model, including the effects of diffraction at a short distance, and then validated against actual data sets obtained from in-cloud flights during the pre-ICE'89 campaign. Our method allows us to differentiate small hexagonal columns from spherical particles, thus making possible the characterization of the three dimensional shape (and consequently evaluation of the volume) of the particles, and finally to compute e.g., the liquid or the ice water content.

Publications Copernicus
Download
Citation