Cloudnet LWC during PS106
The dataset contains daily nc-files of the Cloudnet liquid water content during Polarstern cruise PS106. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883). This variable was calculated for the profiles where the \"categorizati...
Main Authors: | , , , , |
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Format: | Dataset |
Language: | English |
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PANGAEA
2020
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Subjects: | |
Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.919383 https://doi.org/10.1594/PANGAEA.919383 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.919383 |
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record_format |
openpolar |
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) TROPOS 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) TROPOS Uniform resource locator/link to file Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes Cloudnet LWC during 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) TROPOS Uniform resource locator/link to file |
description |
The dataset contains daily nc-files of the Cloudnet liquid water content during Polarstern cruise PS106. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883). This variable was calculated for the profiles where the \"categorization\" data has diagnosed that liquid water is present and liquid water path is available from a coincident microwave radiometer. The model temperature and pressure were used to estimate the theoretical adiabatic liquid water content gradient for each cloud base and the adiabatic liquid water content is then scaled so that its integral matches the radiometer measurement so that the liquid water content now follows a quasi-adiabatic profile. If the liquid layer is detected by the lidar only, there is the potential for cloud top height to be underestimated and so if the adiabatic integrated liquid water content is less than that measured by the microwave radiometer, the cloud top is extended until the adiabatic integrated liquid water content agrees with the value measured by the microwave radiometer. Missing values indicate that either 1) a liquid water layer was diagnosed but no microwave radiometer data was available, 2) a liquid water layer was diagnosed but the microwave radiometer data was unreliable; this may be because a melting layer was present in the profile, or because the retrieved lwp was unphysical (values of zero are not uncommon for thin supercooled liquid layers), or 3) that rain is present in the profile and therefore, the vertical extent of liquid layers is difficult to ascertain. |
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 LWC during PS106 |
title_short |
Cloudnet LWC during PS106 |
title_full |
Cloudnet LWC during PS106 |
title_fullStr |
Cloudnet LWC during PS106 |
title_full_unstemmed |
Cloudnet LWC during PS106 |
title_sort |
cloudnet lwc during ps106 |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.919383 https://doi.org/10.1594/PANGAEA.919383 |
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: 2017-07-18T00:00:00 * 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 Arctic |
genre_facet |
Arctic Arctic |
op_source |
Leibniz-Institut für Troposphärenforschung e.V., Leipzig |
op_relation |
Griesche, Hannes; Seifert, Patric; Ansmann, Albert; Baars, Holger; Barrientos Velasco, Carola; Bühl, Johannes; Engelmann, Ronny; Radenz, Martin; Zhenping, Yin (in review): Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106. Atmospheric Measurement Techniques Discussions, https://doi.org/10.5194/amt-2019-434 Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2019): Cloudnet LWC during POLARSTERN cruise PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900106 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.919383 https://doi.org/10.1594/PANGAEA.919383 |
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.919383 https://doi.org/10.5194/amt-2019-434 https://doi.org/10.1594/PANGAEA.900106 https://doi.org/10.1175/BAMS-88-6-883 |
_version_ |
1766302367512264704 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.919383 2023-05-15T14:28:12+02:00 Cloudnet LWC during 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: 2017-07-18T00:00:00 * MINIMUM ELEVATION: -512.0 m * MAXIMUM ELEVATION: -46.6 m 2020-06-25 text/tab-separated-values, 220 data points https://doi.pangaea.de/10.1594/PANGAEA.919383 https://doi.org/10.1594/PANGAEA.919383 en eng PANGAEA Griesche, Hannes; Seifert, Patric; Ansmann, Albert; Baars, Holger; Barrientos Velasco, Carola; Bühl, Johannes; Engelmann, Ronny; Radenz, Martin; Zhenping, Yin (in review): Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106. Atmospheric Measurement Techniques Discussions, https://doi.org/10.5194/amt-2019-434 Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2019): Cloudnet LWC during POLARSTERN cruise PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900106 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.919383 https://doi.org/10.1594/PANGAEA.919383 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) TROPOS Uniform resource locator/link to file Dataset 2020 ftpangaea https://doi.org/10.1594/PANGAEA.919383 https://doi.org/10.5194/amt-2019-434 https://doi.org/10.1594/PANGAEA.900106 https://doi.org/10.1175/BAMS-88-6-883 2023-01-20T09:13:43Z The dataset contains daily nc-files of the Cloudnet liquid water content during Polarstern cruise PS106. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883). This variable was calculated for the profiles where the \"categorization\" data has diagnosed that liquid water is present and liquid water path is available from a coincident microwave radiometer. The model temperature and pressure were used to estimate the theoretical adiabatic liquid water content gradient for each cloud base and the adiabatic liquid water content is then scaled so that its integral matches the radiometer measurement so that the liquid water content now follows a quasi-adiabatic profile. If the liquid layer is detected by the lidar only, there is the potential for cloud top height to be underestimated and so if the adiabatic integrated liquid water content is less than that measured by the microwave radiometer, the cloud top is extended until the adiabatic integrated liquid water content agrees with the value measured by the microwave radiometer. Missing values indicate that either 1) a liquid water layer was diagnosed but no microwave radiometer data was available, 2) a liquid water layer was diagnosed but the microwave radiometer data was unreliable; this may be because a melting layer was present in the profile, or because the retrieved lwp was unphysical (values of zero are not uncommon for thin supercooled liquid layers), or 3) that rain is present in the profile and therefore, the vertical extent of liquid layers is difficult to ascertain. Dataset Arctic Arctic PANGAEA - Data Publisher for Earth & Environmental Science Arctic ENVELOPE(5.402260,27.113210,79.842110,57.059650) |