Cloudnet LWC during POLARSTERN cruise 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 \"categorizat...

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Bibliographic Details
Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
AC3
LWC
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.900106
https://doi.org/10.1594/PANGAEA.900106
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.900106
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.900106 2024-10-20T14:07:31+00:00 Cloudnet LWC 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: 2017-07-18T00:00:00 * MINIMUM ELEVATION: -512.0 m * MAXIMUM ELEVATION: -46.6 m 2019 text/tab-separated-values, 220 data points https://doi.pangaea.de/10.1594/PANGAEA.900106 https://doi.org/10.1594/PANGAEA.900106 en eng PANGAEA Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet LWC during PS106 [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919383 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.900106 https://doi.org/10.1594/PANGAEA.900106 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess 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 LWC 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.90010610.1594/PANGAEA.91938310.1175/BAMS-88-6-883 2024-10-02T00:42:44Z 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 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
LWC
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
LWC
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 LWC 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
LWC
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 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 POLARSTERN cruise PS106
title_short Cloudnet LWC during POLARSTERN cruise PS106
title_full Cloudnet LWC during POLARSTERN cruise PS106
title_fullStr Cloudnet LWC during POLARSTERN cruise PS106
title_full_unstemmed Cloudnet LWC during POLARSTERN cruise PS106
title_sort cloudnet lwc during polarstern cruise ps106
publisher PANGAEA
publishDate 2019
url https://doi.pangaea.de/10.1594/PANGAEA.900106
https://doi.org/10.1594/PANGAEA.900106
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
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 LWC during PS106 [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919383
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.900106
https://doi.org/10.1594/PANGAEA.900106
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.90010610.1594/PANGAEA.91938310.1175/BAMS-88-6-883
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