Cloudnet categorization during POLARSTERN cruise PS106 ...
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 numeric...
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Online Access: | https://dx.doi.org/10.1594/pangaea.899897 https://doi.pangaea.de/10.1594/PANGAEA.899897 |
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ftdatacite:10.1594/pangaea.899897 2024-09-09T19:25:52+00:00 Cloudnet categorization during POLARSTERN cruise PS106 ... Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.899897 https://doi.pangaea.de/10.1594/PANGAEA.899897 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.919344 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 PS106 Event label DATE/TIME File name File format File size Uniform resource locator/link to file Remote sensing Light detection and ranging, LiDAR PS106/1 Polarstern Arctic Amplification AC3 Dataset dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.89989710.1594/pangaea.91934410.1175/bams-88-6-883 2024-07-03T13:11:36Z 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 ... : Please note: a newer Version is available, see "Replaced by" reference ... Dataset Arctic DataCite Arctic |
institution |
Open Polar |
collection |
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op_collection_id |
ftdatacite |
language |
English |
topic |
Cloudnet OCEANET-ATMOSPHERE PASCAL PS106 Event label DATE/TIME File name File format File size Uniform resource locator/link to file Remote sensing Light detection and ranging, LiDAR PS106/1 Polarstern Arctic Amplification AC3 |
spellingShingle |
Cloudnet OCEANET-ATMOSPHERE PASCAL PS106 Event label DATE/TIME File name File format File size Uniform resource locator/link to file Remote sensing Light detection and ranging, LiDAR PS106/1 Polarstern Arctic Amplification AC3 Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes Cloudnet categorization during POLARSTERN cruise PS106 ... |
topic_facet |
Cloudnet OCEANET-ATMOSPHERE PASCAL PS106 Event label DATE/TIME File name File format File size Uniform resource locator/link to file Remote sensing Light detection and ranging, LiDAR PS106/1 Polarstern Arctic Amplification AC3 |
description |
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 ... : Please note: a newer Version is available, see "Replaced by" reference ... |
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 categorization during POLARSTERN cruise PS106 ... |
title_short |
Cloudnet categorization during POLARSTERN cruise PS106 ... |
title_full |
Cloudnet categorization during POLARSTERN cruise PS106 ... |
title_fullStr |
Cloudnet categorization during POLARSTERN cruise PS106 ... |
title_full_unstemmed |
Cloudnet categorization during POLARSTERN cruise PS106 ... |
title_sort |
cloudnet categorization during polarstern cruise ps106 ... |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.899897 https://doi.pangaea.de/10.1594/PANGAEA.899897 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.1594/pangaea.919344 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.89989710.1594/pangaea.91934410.1175/bams-88-6-883 |
_version_ |
1809895575041081344 |