Date of Award
Master of Science (MS)
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).
Midzak, Natalie, "A Classification Of Ice Crystal Habits Using Combined CPL And RSP Observations During The Seac4rs Campaign" (2020). Theses and Dissertations. 3112.