Data underlying the PhD thesis: Detection and Differentiation of Supercooled Large Droplet Icing Conditions
收藏4TU.ResearchData2024-04-10 更新2026-04-23 收录
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https://data.4tu.nl/datasets/8ee82c63-a8d8-48e9-a8f0-f852c897058c
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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).
本数据集配套于约翰内斯·吕克(Johannes Lucke)完成的学位论文《过冷大水滴结冰条件的检测与区分》("Detection and Differentiation of Supercooled Large Droplet Icing Conditions")。数据集涵盖不伦瑞克结冰风洞(Braunschweig Icing Wind Tunnel)、古德里奇结冰风洞(Goodrich Icing Wind Tunnel)与铁路技术阿森纳(Rail Tec Arsenal)的结冰风洞实测数据。上述数据经评估后,可用于表征涅沃罗夫探头(Nevzorov probe)与BCPD等机载探测仪表的性能特征。本数据集同时纳入HALO-AC3与SENS4ICE飞行任务中云探测仪的机载实测数据。针对风洞测量数据,研究人员通过对BCPD与涅沃罗夫探头的实测数据开展评估,以获取该类仪表工作特性的全新认知,尤其针对过冷大水滴(supercooled large droplets, SLD)的测量场景。
提供机构:
Kirschler, Simon; de la Torre Castro, Elena
创建时间:
2024-04-10



