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: Cloudnet; OCEANET-ATMOSPHERE; PASCAL; PS106; target classification; Event label; DATE/TIME; File name; File format; File size; Uniform resource locator/link to file; Remote sensing Light detection and ranging, LiDAR; PS106/1; Polarstern; Arctic Amplification AC3; Arctic; Mira
• Online Access: https://dx.doi.org/10.1594/pangaea.900245; https://doi.pangaea.de/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. ... : Please note: a newer Version is available, see "Replaced by" reference ...