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

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 s...

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Bibliographic Details
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/
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Summary: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.

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