High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ...
During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the no...
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Online Access: | https://dx.doi.org/10.1594/pangaea.900880 https://doi.pangaea.de/10.1594/PANGAEA.900880 |
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ftdatacite:10.1594/pangaea.900880 2024-09-09T19:23:15+00:00 High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.900880 https://doi.pangaea.de/10.1594/PANGAEA.900880 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.902603 https://dx.doi.org/10.1175/bams-d-18-0072.1 https://dx.doi.org/10.1594/pangaea.902849 https://dx.doi.org/10.5194/amt-11-4567-2018 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ACLOUD airborne measurements Greenland Sea Polar 5 Polar 6 Svalbard turbulence Event label DATE/TIME File content File format File name File size Uniform resource locator/link to file Aircraft P5-206_ACLOUD_2017 P6-206_ACLOUD_2017 POLAR 5 POLAR 6 Arctic Amplification AC3 dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.90088010.1594/pangaea.90260310.1175/bams-d-18-0072.110.1594/pangaea.90284910.5194/amt-11-4567-2018 2024-06-17T10:02:52Z During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.05m/s for straight and level flight ... Dataset Arctic Greenland Greenland Sea Longyearbyen Svalbard DataCite Arctic Svalbard Longyearbyen Greenland Landing The ENVELOPE(161.417,161.417,-78.367,-78.367) |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
ACLOUD airborne measurements Greenland Sea Polar 5 Polar 6 Svalbard turbulence Event label DATE/TIME File content File format File name File size Uniform resource locator/link to file Aircraft P5-206_ACLOUD_2017 P6-206_ACLOUD_2017 POLAR 5 POLAR 6 Arctic Amplification AC3 |
spellingShingle |
ACLOUD airborne measurements Greenland Sea Polar 5 Polar 6 Svalbard turbulence Event label DATE/TIME File content File format File name File size Uniform resource locator/link to file Aircraft P5-206_ACLOUD_2017 P6-206_ACLOUD_2017 POLAR 5 POLAR 6 Arctic Amplification AC3 Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... |
topic_facet |
ACLOUD airborne measurements Greenland Sea Polar 5 Polar 6 Svalbard turbulence Event label DATE/TIME File content File format File name File size Uniform resource locator/link to file Aircraft P5-206_ACLOUD_2017 P6-206_ACLOUD_2017 POLAR 5 POLAR 6 Arctic Amplification AC3 |
description |
During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.05m/s for straight and level flight ... |
format |
Dataset |
author |
Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry |
author_facet |
Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry |
author_sort |
Hartmann, Jörg |
title |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... |
title_short |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... |
title_full |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... |
title_fullStr |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... |
title_full_unstemmed |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 ... |
title_sort |
high resolution aircraft measurements of wind and temperature during the acloud campaign in 2017 ... |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.900880 https://doi.pangaea.de/10.1594/PANGAEA.900880 |
long_lat |
ENVELOPE(161.417,161.417,-78.367,-78.367) |
geographic |
Arctic Svalbard Longyearbyen Greenland Landing The |
geographic_facet |
Arctic Svalbard Longyearbyen Greenland Landing The |
genre |
Arctic Greenland Greenland Sea Longyearbyen Svalbard |
genre_facet |
Arctic Greenland Greenland Sea Longyearbyen Svalbard |
op_relation |
https://dx.doi.org/10.1594/pangaea.902603 https://dx.doi.org/10.1175/bams-d-18-0072.1 https://dx.doi.org/10.1594/pangaea.902849 https://dx.doi.org/10.5194/amt-11-4567-2018 |
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.90088010.1594/pangaea.90260310.1175/bams-d-18-0072.110.1594/pangaea.90284910.5194/amt-11-4567-2018 |
_version_ |
1809763660536479744 |