Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2019): Cloudnet categorization during POLARSTERN cruise PS106 [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.899897
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Alert Replaced by:
Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet target categorization during PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919344
Abstract:
The dataset contains daily nc-files of the Cloudnet target categorization during Polarstern cruise PS106. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883 ). This dataset is an aggregation of data from cloud radar, lidar, a numerical forecast model and optionally a rain gauge and microwave radiometer. It is intended to facilitate the application of synergistic cloud-retrieval algorithms by performing a number of the preprocessing tasks that are common to these algorithms. Each of the observational datasets has been interpolated on to the same grid, although the model data are provided on a reduced height grid. Radar reflectivity has been corrected for attenuation, where possible, and two additional fields have been added: \"category_bits\" contains a categorization of the targets in each pixel and \"quality_bits\" indicates the quality of the data at each pixel. Finally, estimates of the random and systematic errors in reflectivity factor and attenuated backscatter are provided.
Related to:
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: 2017-07-17T00:00:00
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