Small-scale structure of thermodynamic phase in Arctic mixed-phase clouds observed with airborne remote sensing during the ACLOUD campaign

• Main Author: Ruiz-Donoso, Elena
• Other Authors: Universität Leipzig
• Format: Doctoral or Postdoctoral Thesis
• Language: English
• Published: 2020
• Subjects: Arctic mixed-phase clouds; thermodynamic phase spatial distribution; airborne remote sensing; info:eu-repo/classification/ddc/551; ddc:551; Arctic
• Online Access: https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-748337; https://ul.qucosa.de/id/qucosa%3A74833; https://ul.qucosa.de/api/qucosa%3A74833/attachment/ATT-0/

This thesis evaluates the limitations of passive airborne remote sensing methods to retrieve optical and microphysical properties of Arctic mixed-phase clouds. These limitations are circumvented using a synergy of passive and active remote sensing techniques, and large eddy simulations. Using this synergetic approach, the three-dimensional spatial distribution of the thermodynamic phase of two cloud case studies is characterized. The findings are subsequently applied to a statistical analysis of the cloud properties measured during the Arctic Cloud Observations Using airborne measurements during polar Day (ACLOUD) campaign.