The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8ee82c63-a8d8-48e9-a8f0-f852c897058c

Lucke, Johannes; Kirschler, Simon; Märkl, Raphael; de la Torre Castro, Elena (2024): Data underlying the PhD thesis: Detection and Differentiation of Supercooled Large Droplet Icing Conditions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8ee82c63-a8d8-48e9-a8f0-f852c897058c.v1

Dataset

• Natural Hazards
• Aerospace Engineering
• Other Physical Sciences
• Interdisciplinary Engineering
• Environmental Engineering
• Climate and Climate Change
• Atmosphere and Weather
• Engineering
• Physical Sciences
• Environment

14 CFR Part 25 Appendix C, 14 CFR Part 25 Appendix O, Airborne measurements, Atmospheric Icing Conditions, Backscatter Cloud Probe with Polarization Detection, Cloud Droplet Probe, Deutsches Zentrum für Luft- und Raumfahrt, Droplet collision efficiency, HALO-AC³, Hotwire Instruments, ICEGENESIS, Icing wind tunnels, Nevzorov probe, SENS4ICE, Supercooled Large Droplets

CC BY-NC-ND 4.0

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by Johannes Lucke , Simon Kirschler , Raphael Märkl , Elena de la Torre Castro

This is the data set accompanying the dissertation "Detection and Differentiation of Supercooled Large Droplet Icing Conditions" by Johannes Lucke. The dataset contains Icing wind tunnel data from the Braunschweig Icing Wind Tunnel, the Goodrich Icing Wind Tunnel, and from Rail Tec Arsenal. The data are evaluated to characterize airborne instrumentation like the Nevzorov probe and the BCPD. The dataset also contains airborne measurements of cloud probes from the HALO-AC3 and SENS4ICE flight campaigns. As for the wind tunnel measurements, the data of BCPD and Nevzorov probe are evaluated to gain new insights into the instrument behavior, especially with regard to the measurement of supercooled large droplets (SLD).

• 2024-04-10 first online, published, posted

4TU.ResearchData

The dataset contains a Readme with all relevant descriptions and a .zip folder, that contains all data and code relevant to the thesis.

• https://doi.org/10.5194/amt-15-7375-2022
• https://doi.org/10.4271/2023-01-1485
• https://doi.org/10.5194/acp-23-7257-2023

TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations
German Aerospace Center (DLR), Institute of Atmospheric Physics