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| Main Authors: | , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2020
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.919344 |
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| _version_ | 1867171021053755392 |
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| 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 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 onto 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_919344 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Cloudnet target categorization during PS106 Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes AC3; Arctic Amplification; ARK-XXXI/1.1,PASCAL; DATE/TIME; Event label; File format; File name; File size; LiDAR; Polarstern; PS106_0_Underway-11; PS106_0_Underway-17; PS106/1; Remote sensing (Light detection and ranging, LiDAR); Uniform resource locator/link to file 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 onto 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. |
| title | Cloudnet target categorization during PS106 |
| topic | AC3; Arctic Amplification; ARK-XXXI/1.1,PASCAL; DATE/TIME; Event label; File format; File name; File size; LiDAR; Polarstern; PS106_0_Underway-11; PS106_0_Underway-17; PS106/1; Remote sensing (Light detection and ranging, LiDAR); Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.919344 |