Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2019): Cloudnet target classification during POLARSTERN cruise PS106 classification [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900245
Always quote citation above when using data! You can download the citation in several formats below.
Alert Replaced by:
Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet target classification during PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919463
Abstract:
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.
Further details:
Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883
Project(s):
Arctic Amplification (AC3)
Funding:
German Research Foundation (DFG), grant/award no. 268020496: TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms
Coverage:
Median Latitude: 73.557710 * Median Longitude: 13.412315 * South-bound Latitude: 57.059650 * West-bound Longitude: 5.402260 * North-bound Latitude: 79.842110 * East-bound Longitude: 27.113210
Date/Time Start: 2017-05-24T00:00:00 * Date/Time End: 2017-07-18T00:00:00
Minimum Elevation: -512.0 m * Maximum Elevation: -46.6 m
Event(s):
PS106_0_Underway-11 * Latitude Start: 57.059650 * Longitude Start: 5.402260 * Latitude End: 79.842110 * Longitude End: 8.560310 * Date/Time Start: 2017-05-24T00:00:00 * Date/Time End: 2017-06-22T00:00:00 * Elevation Start: -46.6 m * Elevation End: -512.0 m * Campaign: PS106/1 (ARK-XXXI/1.1,PASCAL) * Basis: Polarstern * Method/Device: Remote sensing (Light detection and ranging, LiDAR) (LiDAR)
PS106_0_Underway-17 * Latitude Start: 77.971190 * Longitude Start: 12.573480 * Latitude End: 79.357890 * Longitude End: 27.113210 * Date/Time Start: 2017-06-23T16:15:00 * Date/Time End: 2017-07-15T20:00:00 * Elevation Start: -161.0 m * Elevation End: -286.0 m * Campaign: PS106/1 (ARK-XXXI/1.1,PASCAL) * Basis: Polarstern * Method/Device: Remote sensing (Light detection and ranging, LiDAR) (LiDAR)
Comment:
Please note: a newer Version is available, see "Replaced by" reference
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Griesche, Hannes | |||
| 2 | DATE/TIME | Date/Time | Griesche, Hannes | Geocode | ||
| 3 | File name | File name | Griesche, Hannes | |||
| 4 | File format | File format | Griesche, Hannes | |||
| 5 | File size | File size | kByte | Griesche, Hannes | ||
| 6 | Uniform resource locator/link to file | URL file | Griesche, Hannes |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
220 data points