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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Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
2020
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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/ |
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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