Publication Abstracts

Midzak et al. 2020, submitted

Midzak, N., J.E. Yorks, J. Zhang, B. van Diedenhoven, S. Woods, and M. McGill, 2020: A classification of ice crystal habits using combined CPL and RSP observations during the SEAC4RS campaign. J. Atmos. Ocean. Technol., submitted.

Using collocated NASA's Cloud Physics Lidar (CPL) and Research Scanning Polarimeter (RSP) data from the SEAC4RS campaign, a new observational-based method was developed which uses a K-means clustering technique to classify ice crystal habit types into seven categories: column, plates, rosettes, spheroids and three different type of irregulars. Inter-compared with the collocated SPEC Inc. Cloud Particle Imager (CPI) data, the frequency of the detected ice crystal habits from the proposed method presented in the study agree within 5% of the CPI reported values for columns, irregulars, rosettes, and spheroids, with more disagreement for plates. This study suggests that a detailed ice crystal habit retrieval could be applied to combined space-based lidar and polarimeter observations such as CALIPSO and POLDER in addition to future missions such as the Aerosols, Clouds, Convection, and Precipitation (A-CCP).

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BibTeX Citation

@unpublished{mi07520x,
  author={Midzak, N. and Yorks, J. E. and Zhang, J. and van Diedenhoven, B. and Woods, S. and McGill, M.},
  title={A classification of ice crystal habits using combined CPL and RSP observations during the SEAC4RS campaign},
  year={2020},
  journal={J. Atmos. Ocean. Technol.},
  note={Manuscript submitted for publication}
}

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RIS Citation

TY  - UNPB
ID  - mi07520x
AU  - Midzak, N.
AU  - Yorks, J. E.
AU  - Zhang, J.
AU  - van Diedenhoven, B.
AU  - Woods, S.
AU  - McGill, M.
PY  - 2020
TI  - A classification of ice crystal habits using combined CPL and RSP observations during the SEAC4RS campaign
JA  - J. Atmos. Ocean. Technol.
ER  -

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