Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment

• Published in: Scientific Data
• Main Authors: Hannes J. Griesche, Patric Seifert, Ronny Engelmann, Martin Radenz, Julian Hofer, Dietrich Althausen, Andreas Walbröl, Carola Barrientos-Velasco, Holger Baars, Sandro Dahlke, Simo Tukiainen, Andreas Macke
• Format: Article in Journal/Newspaper
• Language: English
• Published: Nature Portfolio 2024
• Subjects: Science; Q; Arctic
• Online Access: https://doi.org/10.1038/s41597-024-03325-w; https://doaj.org/article/a8e82d0326f847849d2e942a78751ed9

Abstract In the framework of the Multidisciplinary drifting Observatory for the Study of Arctic Climate Polarstern expedition, the Leibniz Institute for Tropospheric Research, Leipzig, Germany, operated the shipborne OCEANET-Atmosphere facility for cloud and aerosol observations throughout the whole year. OCEANET-Atmosphere comprises, amongst others, a multiwavelength Raman lidar, a microwave radiometer, and an optical disdrometer. A cloud radar was operated aboard Polarstern by the US Atmospheric Radiation Measurement program. These measurements were processed by applying the so-called Cloudnet methodology to derive cloud properties. To gain a comprehensive view of the clouds, lidar and cloud radar capabilities for low- and high-altitude observations were combined. Cloudnet offers a variety of products with a spatiotemporal resolution of 30 s and 30 m, such as the target classification, and liquid and ice microphysical properties. Additionally, a lidar-based low-level stratus retrieval was applied for cloud detection below the lowest range gate of the cloud radar. Based on the presented dataset, e.g., studies on cloud formation processes and their radiative impact, and model evaluation studies can be conducted.