Cloudnet target classification during POLARSTERN cruise PS106 classification

• Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
• Format: Dataset
• Language: English
• Published: PANGAEA 2019
• Subjects: AC3; Arctic Amplification; ARK-XXXI/1.1,PASCAL; Cloudnet; DATE/TIME; Event label; File format; File name; File size; LiDAR; OCEANET-ATMOSPHERE; PASCAL; Polarstern; PS106; PS106_0_Underway-11; PS106_0_Underway-17; PS106/1; Remote sensing (Light detection and ranging; LiDAR); target classification; Uniform resource locator/link to file; Arctic; Mira
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.900245; https://doi.org/10.1594/PANGAEA.900245

The dataset contains daily nc-files of the Cloudnet target classification during Polarstern cruise PS106 based on: - 35.5 GHz Cloud radar MIRA, - PollyXT, - https://www.ready.noaa.gov/gdas1.php using output produced by the profile binary in the HYSPLIT offline package, - OceanRAIN optical disdrometer ODM470, - Microwave radiometers. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883). This variable is a simplification of the bitfield \"category_bits\" in the target categorization and data quality dataset. It provides the 9 main atmospheric target classifications that can be distinguished by radar and lidar. Target_classification:definition = 0: Clear sky, 1: Cloud droplets only, 2: Drizzle or rain, 3: Drizzle/rain & cloud droplets, 4: Ice, 5: Ice & supercooled droplets, 6: Melting ice, 7: Melting ice & cloud droplets, 8: Aeroso, 9: Insects.