Sea-ice draft during the MOSAiC expedition 2019/20 ...
The three-dimensional under-ice topography has been mapped regularly during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in 2019/20 (Nicolaus et al., 2022). We used a high-speed, high-resolution multibeam echosounder system (MBES, Imagenex DT101, Por...
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Online Access: | https://dx.doi.org/10.1594/pangaea.945846 https://doi.pangaea.de/10.1594/PANGAEA.945846 |
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ftdatacite:10.1594/pangaea.945846 2024-06-09T07:43:54+00:00 Sea-ice draft during the MOSAiC expedition 2019/20 ... Katlein, Christian Anhaus, Philipp Arndt, Stefanie Krampe, Daniela Lange, Benjamin Allen Matero, Ilkka Regnery, Julia Rohde, Jan Schiller, Martin Nicolaus, Marcel 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.945846 https://doi.pangaea.de/10.1594/PANGAEA.945846 en eng PANGAEA https://dx.doi.org/10.13140/rg.2.2.34572.95362 https://dx.doi.org/10.3389/fmars.2017.00281 https://dx.doi.org/10.1525/elementa.2021.000046 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 MOSAiC20192020 Multibeam Echosounder Remotely operated vehicle ROV Sea ice Sea-ice draft Sea-ice thickness Event label DATE/TIME LATITUDE LONGITUDE Image Raster graphic, GeoTIFF format Text file Remotely operated sensor platform BEAST Quicklook Multibeam echosounder, Imagenex DT101 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern FRontiers in Arctic marine Monitoring FRAM Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Sea Ice Physics @ AWI AWI_SeaIce Dataset dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94584610.13140/rg.2.2.34572.9536210.3389/fmars.2017.0028110.1525/elementa.2021.000046 2024-05-13T12:44:57Z The three-dimensional under-ice topography has been mapped regularly during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in 2019/20 (Nicolaus et al., 2022). We used a high-speed, high-resolution multibeam echosounder system (MBES, Imagenex DT101, Port Coquitlam, BC, Canada) attached to a remotely operated vehicle (ROV, M500, Ocean Modules, Åtvidaberg, Sweden, Katlein et al., 2017). The system was operated directly from the sea ice during most dive days on all legs of the MOSAiC expedition. The area covered had a radius of approximately 280 m. Standard multibeam surveys were performed at a dive depth of 20 m while high-resolution surveys at 10 m depth.The MBES consists of a multibeam sonar, an integrated Sound Velocity Probe (SVP), and a Motion Reference Unit (MRU). The operating frequency was 240 kHz. The sonar was used with 480 beams with a swath width of 120° (across track) x 3° (along track) and an effective beam width of 0.75°. The angular resolution ... : Version 1.0, preliminary release August 2021: This dataset is an early release with QC data, but the data set is not corrected or polished to every aspect. It can be used, but issues and pitfalls remain. Known issues are the following:• Roll calibration of the multibeam mounting is imperfect leading to stripe patterns and surface tilts in some datasets.• Draft values have not been checked for absolute height. Cross-check with drillings or open water patches before using, significant offsets can be possible.• Positioning accuracy of the ROV varied, hence some features can be displaced by meters, while lateral accuracy within individual swaths is good.• Some datasets exhibit bulges over the zenit beams .• Due to sound velocity differences, the acoustic position can be scaled and distorted relative to precise surface measurements (e.g. laser scanner).• Not all edge beams have been cleaned up perfectly.• No sound velocity correction.• Reflections might originate from false bottoms in some cases.• Some data on ... Dataset Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Canada Stripe ENVELOPE(9.914,9.914,63.019,63.019) Zenit ENVELOPE(11.850,11.850,-70.767,-70.767) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
MOSAiC20192020 Multibeam Echosounder Remotely operated vehicle ROV Sea ice Sea-ice draft Sea-ice thickness Event label DATE/TIME LATITUDE LONGITUDE Image Raster graphic, GeoTIFF format Text file Remotely operated sensor platform BEAST Quicklook Multibeam echosounder, Imagenex DT101 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern FRontiers in Arctic marine Monitoring FRAM Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Sea Ice Physics @ AWI AWI_SeaIce |
spellingShingle |
MOSAiC20192020 Multibeam Echosounder Remotely operated vehicle ROV Sea ice Sea-ice draft Sea-ice thickness Event label DATE/TIME LATITUDE LONGITUDE Image Raster graphic, GeoTIFF format Text file Remotely operated sensor platform BEAST Quicklook Multibeam echosounder, Imagenex DT101 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern FRontiers in Arctic marine Monitoring FRAM Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Sea Ice Physics @ AWI AWI_SeaIce Katlein, Christian Anhaus, Philipp Arndt, Stefanie Krampe, Daniela Lange, Benjamin Allen Matero, Ilkka Regnery, Julia Rohde, Jan Schiller, Martin Nicolaus, Marcel Sea-ice draft during the MOSAiC expedition 2019/20 ... |
topic_facet |
MOSAiC20192020 Multibeam Echosounder Remotely operated vehicle ROV Sea ice Sea-ice draft Sea-ice thickness Event label DATE/TIME LATITUDE LONGITUDE Image Raster graphic, GeoTIFF format Text file Remotely operated sensor platform BEAST Quicklook Multibeam echosounder, Imagenex DT101 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern FRontiers in Arctic marine Monitoring FRAM Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Sea Ice Physics @ AWI AWI_SeaIce |
description |
The three-dimensional under-ice topography has been mapped regularly during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in 2019/20 (Nicolaus et al., 2022). We used a high-speed, high-resolution multibeam echosounder system (MBES, Imagenex DT101, Port Coquitlam, BC, Canada) attached to a remotely operated vehicle (ROV, M500, Ocean Modules, Åtvidaberg, Sweden, Katlein et al., 2017). The system was operated directly from the sea ice during most dive days on all legs of the MOSAiC expedition. The area covered had a radius of approximately 280 m. Standard multibeam surveys were performed at a dive depth of 20 m while high-resolution surveys at 10 m depth.The MBES consists of a multibeam sonar, an integrated Sound Velocity Probe (SVP), and a Motion Reference Unit (MRU). The operating frequency was 240 kHz. The sonar was used with 480 beams with a swath width of 120° (across track) x 3° (along track) and an effective beam width of 0.75°. The angular resolution ... : Version 1.0, preliminary release August 2021: This dataset is an early release with QC data, but the data set is not corrected or polished to every aspect. It can be used, but issues and pitfalls remain. Known issues are the following:• Roll calibration of the multibeam mounting is imperfect leading to stripe patterns and surface tilts in some datasets.• Draft values have not been checked for absolute height. Cross-check with drillings or open water patches before using, significant offsets can be possible.• Positioning accuracy of the ROV varied, hence some features can be displaced by meters, while lateral accuracy within individual swaths is good.• Some datasets exhibit bulges over the zenit beams .• Due to sound velocity differences, the acoustic position can be scaled and distorted relative to precise surface measurements (e.g. laser scanner).• Not all edge beams have been cleaned up perfectly.• No sound velocity correction.• Reflections might originate from false bottoms in some cases.• Some data on ... |
format |
Dataset |
author |
Katlein, Christian Anhaus, Philipp Arndt, Stefanie Krampe, Daniela Lange, Benjamin Allen Matero, Ilkka Regnery, Julia Rohde, Jan Schiller, Martin Nicolaus, Marcel |
author_facet |
Katlein, Christian Anhaus, Philipp Arndt, Stefanie Krampe, Daniela Lange, Benjamin Allen Matero, Ilkka Regnery, Julia Rohde, Jan Schiller, Martin Nicolaus, Marcel |
author_sort |
Katlein, Christian |
title |
Sea-ice draft during the MOSAiC expedition 2019/20 ... |
title_short |
Sea-ice draft during the MOSAiC expedition 2019/20 ... |
title_full |
Sea-ice draft during the MOSAiC expedition 2019/20 ... |
title_fullStr |
Sea-ice draft during the MOSAiC expedition 2019/20 ... |
title_full_unstemmed |
Sea-ice draft during the MOSAiC expedition 2019/20 ... |
title_sort |
sea-ice draft during the mosaic expedition 2019/20 ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.945846 https://doi.pangaea.de/10.1594/PANGAEA.945846 |
long_lat |
ENVELOPE(9.914,9.914,63.019,63.019) ENVELOPE(11.850,11.850,-70.767,-70.767) |
geographic |
Arctic Canada Stripe Zenit |
geographic_facet |
Arctic Canada Stripe Zenit |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://dx.doi.org/10.13140/rg.2.2.34572.95362 https://dx.doi.org/10.3389/fmars.2017.00281 https://dx.doi.org/10.1525/elementa.2021.000046 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.94584610.13140/rg.2.2.34572.9536210.3389/fmars.2017.0028110.1525/elementa.2021.000046 |
_version_ |
1801372728781963264 |