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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Bibliographic Details
Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.919463
https://doi.pangaea.de/10.1594/PANGAEA.919463
id ftdatacite:10.1594/pangaea.919463
record_format openpolar
spelling 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
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