Cloudnet target classification during POLARSTERN cruise PS106 classification
Fuente:
PANGAEA
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Dataset Open Access |
| Sprache: | en |
| Veröffentlicht: |
PANGAEA
2019
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1867171013887787008 |
|---|---|
| author | Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes |
| author_facet | Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_900245 |
| institution | PANGAEA |
| language | en |
| publishDate | 2019 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Cloudnet target classification during POLARSTERN cruise PS106 classification Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes 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 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. |
| title | Cloudnet target classification during POLARSTERN cruise PS106 classification |
| topic | 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 |
| url | https://doi.org/10.1594/PANGAEA.900245 |