A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign

The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two res...

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Published in:Earth System Science Data
Main Authors: Ehrlich, André, Wendisch, Manfred, Lüpkes, Christof, Buschmann, Matthias, Bozem, Heiko, Chechin, Dmitri, Clemen, Hans-Christian, Dupuy, Régis, Eppers, Olliver, Hartmann, Jörg, Herber, Andreas, Jäkel, Evelyn, Järvinen, Emma, Jourdan, Olivier, Kästner, Udo, Kliesch, Leif-Leonard, Köllner, Franziska, Mech, Mario, Mertes, Stephan, Neuber, Roland, Ruiz-Donoso, Elena, Schnaiter, Martin, Schneider, Johannes, Stapf, Johannes, Zanatta, Marco
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
Online Access:https://doi.org/10.5194/essd-11-1853-2019
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00049619 2023-05-15T14:48:23+02:00 A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign Ehrlich, André Wendisch, Manfred Lüpkes, Christof Buschmann, Matthias Bozem, Heiko Chechin, Dmitri Clemen, Hans-Christian Dupuy, Régis Eppers, Olliver Hartmann, Jörg Herber, Andreas Jäkel, Evelyn Järvinen, Emma Jourdan, Olivier Kästner, Udo Kliesch, Leif-Leonard Köllner, Franziska Mech, Mario Mertes, Stephan Neuber, Roland Ruiz-Donoso, Elena Schnaiter, Martin Schneider, Johannes Stapf, Johannes Zanatta, Marco 2019-11 electronic https://doi.org/10.5194/essd-11-1853-2019 https://noa.gwlb.de/receive/cop_mods_00049619 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049238/essd-11-1853-2019.pdf https://essd.copernicus.org/articles/11/1853/2019/essd-11-1853-2019.pdf eng eng Copernicus Publications Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-11-1853-2019 https://noa.gwlb.de/receive/cop_mods_00049619 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049238/essd-11-1853-2019.pdf https://essd.copernicus.org/articles/11/1853/2019/essd-11-1853-2019.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2019 ftnonlinearchiv https://doi.org/10.5194/essd-11-1853-2019 2022-02-08T22:37:13Z The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated using truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data are published in the World Data Center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b, https://doi.org/10.1594/PANGAEA.902603). Article in Journal/Newspaper Arctic Sea ice Svalbard Niedersächsisches Online-Archiv NOA Arctic Svalbard Norway Earth System Science Data 11 4 1853 1881
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Ehrlich, André
Wendisch, Manfred
Lüpkes, Christof
Buschmann, Matthias
Bozem, Heiko
Chechin, Dmitri
Clemen, Hans-Christian
Dupuy, Régis
Eppers, Olliver
Hartmann, Jörg
Herber, Andreas
Jäkel, Evelyn
Järvinen, Emma
Jourdan, Olivier
Kästner, Udo
Kliesch, Leif-Leonard
Köllner, Franziska
Mech, Mario
Mertes, Stephan
Neuber, Roland
Ruiz-Donoso, Elena
Schnaiter, Martin
Schneider, Johannes
Stapf, Johannes
Zanatta, Marco
A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
topic_facet article
Verlagsveröffentlichung
description The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated using truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data are published in the World Data Center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b, https://doi.org/10.1594/PANGAEA.902603).
format Article in Journal/Newspaper
author Ehrlich, André
Wendisch, Manfred
Lüpkes, Christof
Buschmann, Matthias
Bozem, Heiko
Chechin, Dmitri
Clemen, Hans-Christian
Dupuy, Régis
Eppers, Olliver
Hartmann, Jörg
Herber, Andreas
Jäkel, Evelyn
Järvinen, Emma
Jourdan, Olivier
Kästner, Udo
Kliesch, Leif-Leonard
Köllner, Franziska
Mech, Mario
Mertes, Stephan
Neuber, Roland
Ruiz-Donoso, Elena
Schnaiter, Martin
Schneider, Johannes
Stapf, Johannes
Zanatta, Marco
author_facet Ehrlich, André
Wendisch, Manfred
Lüpkes, Christof
Buschmann, Matthias
Bozem, Heiko
Chechin, Dmitri
Clemen, Hans-Christian
Dupuy, Régis
Eppers, Olliver
Hartmann, Jörg
Herber, Andreas
Jäkel, Evelyn
Järvinen, Emma
Jourdan, Olivier
Kästner, Udo
Kliesch, Leif-Leonard
Köllner, Franziska
Mech, Mario
Mertes, Stephan
Neuber, Roland
Ruiz-Donoso, Elena
Schnaiter, Martin
Schneider, Johannes
Stapf, Johannes
Zanatta, Marco
author_sort Ehrlich, André
title A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
title_short A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
title_full A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
title_fullStr A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
title_full_unstemmed A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
title_sort comprehensive in situ and remote sensing data set from the arctic cloud observations using airborne measurements during polar day (acloud) campaign
publisher Copernicus Publications
publishDate 2019
url https://doi.org/10.5194/essd-11-1853-2019
https://noa.gwlb.de/receive/cop_mods_00049619
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049238/essd-11-1853-2019.pdf
https://essd.copernicus.org/articles/11/1853/2019/essd-11-1853-2019.pdf
geographic Arctic
Svalbard
Norway
geographic_facet Arctic
Svalbard
Norway
genre Arctic
Sea ice
Svalbard
genre_facet Arctic
Sea ice
Svalbard
op_relation Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516
https://doi.org/10.5194/essd-11-1853-2019
https://noa.gwlb.de/receive/cop_mods_00049619
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049238/essd-11-1853-2019.pdf
https://essd.copernicus.org/articles/11/1853/2019/essd-11-1853-2019.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/essd-11-1853-2019
container_title Earth System Science Data
container_volume 11
container_issue 4
container_start_page 1853
op_container_end_page 1881
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