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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ftcopernicus:oai:publications.copernicus.org:essd77415 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 2019-11-29 application/pdf https://doi.org/10.5194/essd-11-1853-2019 https://essd.copernicus.org/articles/11/1853/2019/ eng eng doi:10.5194/essd-11-1853-2019 https://essd.copernicus.org/articles/11/1853/2019/ eISSN: 1866-3516 Text 2019 ftcopernicus https://doi.org/10.5194/essd-11-1853-2019 2020-07-20T16:22:33Z 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. , 2019 b , https://doi.org/10.1594/PANGAEA.902603 ). Text Arctic Sea ice Svalbard Copernicus Publications: E-Journals Arctic Norway Svalbard Earth System Science Data 11 4 1853 1881 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
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. , 2019 b , https://doi.org/10.1594/PANGAEA.902603 ). |
format |
Text |
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 |
spellingShingle |
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 |
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 |
publishDate |
2019 |
url |
https://doi.org/10.5194/essd-11-1853-2019 https://essd.copernicus.org/articles/11/1853/2019/ |
geographic |
Arctic Norway Svalbard |
geographic_facet |
Arctic Norway Svalbard |
genre |
Arctic Sea ice Svalbard |
genre_facet |
Arctic Sea ice Svalbard |
op_source |
eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-11-1853-2019 https://essd.copernicus.org/articles/11/1853/2019/ |
op_doi |
https://doi.org/10.5194/essd-11-1853-2019 |
container_title |
Earth System Science Data |
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11 |
container_issue |
4 |
container_start_page |
1853 |
op_container_end_page |
1881 |
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1766319463814135808 |