Cloudnet target classification during PS106

The dataset contains daily nc-files of the Cloudnet target classification during Polarstern cruise PS106 based on: - 35.5 GHz Cloud radar MIRA, - Multiwavelength Raman polarization lidar PollyXT, - Polarstern radiosonde data - OceanRAIN optical disdrometer ODM470, - Microwave radiometer. The data is...

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Bibliographic Details
Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
Cloud Radar
CRS
DATE/TIME
Event label
File format
File name
File size
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-12
PS106_0_Underway-14
PS106/1
TROPOS
Uniform resource locator/link to file
Arctic
Mira
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.919463
https://doi.org/10.1594/PANGAEA.919463
Description
Summary:The dataset contains daily nc-files of the Cloudnet target classification during Polarstern cruise PS106 based on: - 35.5 GHz Cloud radar MIRA, - Multiwavelength Raman polarization lidar PollyXT, - Polarstern radiosonde data - OceanRAIN optical disdrometer ODM470, - Microwave radiometer. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007 https://journals.ametsoc.org/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: Aerosol, 9: Insects.

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