Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106
From 25 May to 21 July 2017, the research vessel Polarstern performed the cruise PS106 to the high Arctic in the region north and northeast of Svalbard. The mobile remote-sensing platform OCEANET was deployed aboard Polarstern. Within a single container, OCEANET houses state-of-the-art remote-sensin...
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2020
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ftleibnizopen:oai:oai.leibnizopen.de:GC_SeYsBBwLIz6xGYe2Q 2023-11-12T04:11:57+01:00 Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 Griesche, Hannes J. Seifer, Patric Ansmann, Albert Baars, Holger Velasco, Carola Barrientos Bühl, Johannes Engelmann, Ronny Radenz, Martin Zhenping, Yin Macke, Andreas 2020 application/pdf https://oa.tib.eu/renate/handle/123456789/6990 https://doi.org/10.34657/6037 eng eng Katlenburg-Lindau : Copernicus CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ Atmospheric measurement techniques : AMT 13 (2020), Nr. 10 aerosol cloud microphysics ground-based measurement microwave radiometer observational method optical property radar remote sensing Arctic Svalbard Svalbard and Jan Mayen Vindula arsinoe 550 article Text 2020 ftleibnizopen https://doi.org/10.34657/6037 2023-10-30T00:19:07Z From 25 May to 21 July 2017, the research vessel Polarstern performed the cruise PS106 to the high Arctic in the region north and northeast of Svalbard. The mobile remote-sensing platform OCEANET was deployed aboard Polarstern. Within a single container, OCEANET houses state-of-the-art remote-sensing equipment, including a multiwavelength Raman polarization lidar PollyXT and a 14-channel microwave radiometer HATPRO (Humidity And Temperature PROfiler). For the cruise PS106, the measurements were supplemented by a motion-stabilized 35 GHz cloud radar Mira-35. This paper describes the treatment of technical challenges which were immanent during the deployment of OCEANET in the high Arctic. This includes the description of the motion stabilization of the cloud radar Mira-35 to ensure vertical-pointing observations aboard the moving Polarstern as well as the applied correction of the vessels heave rate to provide valid Doppler velocities. The correction ensured a leveling accuracy of ±0.5◦ during transits through the ice and an ice floe camp. The applied heave correction reduced the signal induced by the vertical movement of the cloud radar in the PSD of the Doppler velocity by a factor of 15. Low-level clouds, in addition, frequently prevented a continuous analysis of cloud conditions from synergies of lidar and radar within Cloudnet, because the technically determined lowest detection height of Mira-35 was 165 m above sea level. To overcome this obstacle, an approach for identification of the cloud presence solely based on data from the near-field receiver of PollyXT at heights from 50 m and 165 m above sea level is presented. We found low-level stratus clouds, which were below the lowest detection range of most automatic ground-based remote-sensing instruments during 25 % of the observation time. We present case studies of aerosol and cloud studies to introduce the capabilities of the data set. In addition, new approaches for ice crystal effective radius and eddy dissipation rates from cloud radar measurements and ... Article in Journal/Newspaper Arctic Jan Mayen Svalbard Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
aerosol cloud microphysics ground-based measurement microwave radiometer observational method optical property radar remote sensing Arctic Svalbard Svalbard and Jan Mayen Vindula arsinoe 550 |
spellingShingle |
aerosol cloud microphysics ground-based measurement microwave radiometer observational method optical property radar remote sensing Arctic Svalbard Svalbard and Jan Mayen Vindula arsinoe 550 Griesche, Hannes J. Seifer, Patric Ansmann, Albert Baars, Holger Velasco, Carola Barrientos Bühl, Johannes Engelmann, Ronny Radenz, Martin Zhenping, Yin Macke, Andreas Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 |
topic_facet |
aerosol cloud microphysics ground-based measurement microwave radiometer observational method optical property radar remote sensing Arctic Svalbard Svalbard and Jan Mayen Vindula arsinoe 550 |
description |
From 25 May to 21 July 2017, the research vessel Polarstern performed the cruise PS106 to the high Arctic in the region north and northeast of Svalbard. The mobile remote-sensing platform OCEANET was deployed aboard Polarstern. Within a single container, OCEANET houses state-of-the-art remote-sensing equipment, including a multiwavelength Raman polarization lidar PollyXT and a 14-channel microwave radiometer HATPRO (Humidity And Temperature PROfiler). For the cruise PS106, the measurements were supplemented by a motion-stabilized 35 GHz cloud radar Mira-35. This paper describes the treatment of technical challenges which were immanent during the deployment of OCEANET in the high Arctic. This includes the description of the motion stabilization of the cloud radar Mira-35 to ensure vertical-pointing observations aboard the moving Polarstern as well as the applied correction of the vessels heave rate to provide valid Doppler velocities. The correction ensured a leveling accuracy of ±0.5◦ during transits through the ice and an ice floe camp. The applied heave correction reduced the signal induced by the vertical movement of the cloud radar in the PSD of the Doppler velocity by a factor of 15. Low-level clouds, in addition, frequently prevented a continuous analysis of cloud conditions from synergies of lidar and radar within Cloudnet, because the technically determined lowest detection height of Mira-35 was 165 m above sea level. To overcome this obstacle, an approach for identification of the cloud presence solely based on data from the near-field receiver of PollyXT at heights from 50 m and 165 m above sea level is presented. We found low-level stratus clouds, which were below the lowest detection range of most automatic ground-based remote-sensing instruments during 25 % of the observation time. We present case studies of aerosol and cloud studies to introduce the capabilities of the data set. In addition, new approaches for ice crystal effective radius and eddy dissipation rates from cloud radar measurements and ... |
format |
Article in Journal/Newspaper |
author |
Griesche, Hannes J. Seifer, Patric Ansmann, Albert Baars, Holger Velasco, Carola Barrientos Bühl, Johannes Engelmann, Ronny Radenz, Martin Zhenping, Yin Macke, Andreas |
author_facet |
Griesche, Hannes J. Seifer, Patric Ansmann, Albert Baars, Holger Velasco, Carola Barrientos Bühl, Johannes Engelmann, Ronny Radenz, Martin Zhenping, Yin Macke, Andreas |
author_sort |
Griesche, Hannes J. |
title |
Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 |
title_short |
Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 |
title_full |
Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 |
title_fullStr |
Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 |
title_full_unstemmed |
Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 |
title_sort |
application of the shipborne remote sensing supersite oceanet for profiling of arctic aerosols and clouds during polarstern cruise ps106 |
publisher |
Katlenburg-Lindau : Copernicus |
publishDate |
2020 |
url |
https://oa.tib.eu/renate/handle/123456789/6990 https://doi.org/10.34657/6037 |
genre |
Arctic Jan Mayen Svalbard |
genre_facet |
Arctic Jan Mayen Svalbard |
op_source |
Atmospheric measurement techniques : AMT 13 (2020), Nr. 10 |
op_rights |
CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.34657/6037 |
_version_ |
1782330785017102336 |