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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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.899897 2023-05-15T15:10:15+02:00 Cloudnet categorization during POLARSTERN cruise PS106 Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes MEDIAN LATITUDE: 73.557710 * MEDIAN LONGITUDE: 13.412315 * SOUTH-BOUND LATITUDE: 57.059650 * WEST-BOUND LONGITUDE: 5.402260 * NORTH-BOUND LATITUDE: 79.842110 * EAST-BOUND LONGITUDE: 27.113210 * DATE/TIME START: 2017-05-24T00:00:00 * DATE/TIME END: 2017-07-17T00:00:00 * MINIMUM ELEVATION: -512.0 m * MAXIMUM ELEVATION: -46.6 m 2019-04-02 text/tab-separated-values, 220 data points https://doi.pangaea.de/10.1594/PANGAEA.899897 https://doi.org/10.1594/PANGAEA.899897 en eng PANGAEA Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet target categorization during PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919344 Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883 https://doi.pangaea.de/10.1594/PANGAEA.899897 https://doi.org/10.1594/PANGAEA.899897 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Leibniz-Institut für Troposphärenforschung e.V., Leipzig 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) Uniform resource locator/link to file Dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.899897 https://doi.org/10.1594/PANGAEA.919344 https://doi.org/10.1175/BAMS-88-6-883 2023-01-20T09:12:13Z 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 and attenuated backscatter are provided. Dataset Arctic PANGAEA - Data Publisher for Earth & Environmental Science Arctic ENVELOPE(5.402260,27.113210,79.842110,57.059650) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
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) Uniform resource locator/link to file |
spellingShingle |
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) Uniform resource locator/link to file Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes Cloudnet categorization during POLARSTERN cruise PS106 |
topic_facet |
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) Uniform resource locator/link to file |
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 and attenuated backscatter are provided. |
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://doi.pangaea.de/10.1594/PANGAEA.899897 https://doi.org/10.1594/PANGAEA.899897 |
op_coverage |
MEDIAN LATITUDE: 73.557710 * MEDIAN LONGITUDE: 13.412315 * SOUTH-BOUND LATITUDE: 57.059650 * WEST-BOUND LONGITUDE: 5.402260 * NORTH-BOUND LATITUDE: 79.842110 * EAST-BOUND LONGITUDE: 27.113210 * DATE/TIME START: 2017-05-24T00:00:00 * DATE/TIME END: 2017-07-17T00:00:00 * MINIMUM ELEVATION: -512.0 m * MAXIMUM ELEVATION: -46.6 m |
long_lat |
ENVELOPE(5.402260,27.113210,79.842110,57.059650) |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Leibniz-Institut für Troposphärenforschung e.V., Leipzig |
op_relation |
Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet target categorization during PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919344 Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883 https://doi.pangaea.de/10.1594/PANGAEA.899897 https://doi.org/10.1594/PANGAEA.899897 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/PANGAEA.899897 https://doi.org/10.1594/PANGAEA.919344 https://doi.org/10.1175/BAMS-88-6-883 |
_version_ |
1766341304539676672 |