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 retri...
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Online Access: | https://dx.doi.org/10.1594/pangaea.919463 https://doi.pangaea.de/10.1594/PANGAEA.919463 |
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ftdatacite:10.1594/pangaea.919463 2024-09-09T19:25:12+00:00 Cloudnet target classification during PS106 ... Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.919463 https://doi.pangaea.de/10.1594/PANGAEA.919463 en eng PANGAEA https://dx.doi.org/10.5194/amt-2019-434 https://dx.doi.org/10.1594/pangaea.900245 https://dx.doi.org/10.1175/bams-88-6-883 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Cloudnet OCEANET-ATMOSPHERE PASCAL Polarstern PS106 TROPOS Event label DATE/TIME File name File format File size Uniform resource locator/link to file Cloud Radar PS106/1 Arctic Amplification AC3 Dataset dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.91946310.5194/amt-2019-43410.1594/pangaea.90024510.1175/bams-88-6-883 2024-07-03T13:11:36Z 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. ... : This is an updated version of this data set: https://doi.pangaea.de/10.1594/PANGAEA.900245 ... Dataset Arctic DataCite Arctic Mira ENVELOPE(10.500,10.500,-70.417,-70.417) |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Cloudnet OCEANET-ATMOSPHERE PASCAL Polarstern PS106 TROPOS Event label DATE/TIME File name File format File size Uniform resource locator/link to file Cloud Radar PS106/1 Arctic Amplification AC3 |
spellingShingle |
Cloudnet OCEANET-ATMOSPHERE PASCAL Polarstern PS106 TROPOS Event label DATE/TIME File name File format File size Uniform resource locator/link to file Cloud Radar PS106/1 Arctic Amplification AC3 Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes Cloudnet target classification during PS106 ... |
topic_facet |
Cloudnet OCEANET-ATMOSPHERE PASCAL Polarstern PS106 TROPOS Event label DATE/TIME File name File format File size Uniform resource locator/link to file Cloud Radar PS106/1 Arctic Amplification AC3 |
description |
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. ... : This is an updated version of this data set: https://doi.pangaea.de/10.1594/PANGAEA.900245 ... |
format |
Dataset |
author |
Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes |
author_facet |
Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes |
author_sort |
Griesche, Hannes |
title |
Cloudnet target classification during PS106 ... |
title_short |
Cloudnet target classification during PS106 ... |
title_full |
Cloudnet target classification during PS106 ... |
title_fullStr |
Cloudnet target classification during PS106 ... |
title_full_unstemmed |
Cloudnet target classification during PS106 ... |
title_sort |
cloudnet target classification during ps106 ... |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://dx.doi.org/10.1594/pangaea.919463 https://doi.pangaea.de/10.1594/PANGAEA.919463 |
long_lat |
ENVELOPE(10.500,10.500,-70.417,-70.417) |
geographic |
Arctic Mira |
geographic_facet |
Arctic Mira |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5194/amt-2019-434 https://dx.doi.org/10.1594/pangaea.900245 https://dx.doi.org/10.1175/bams-88-6-883 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.91946310.5194/amt-2019-43410.1594/pangaea.90024510.1175/bams-88-6-883 |
_version_ |
1809894964196278272 |