Meteorological data of the Transarktika 2019 expedition, April 2019 ...
The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. During the drift a meteorological site was installed including a 10m-tower at a distance...
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Online Access: | https://dx.doi.org/10.1594/pangaea.928568 https://doi.pangaea.de/10.1594/PANGAEA.928568 |
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ftdatacite:10.1594/pangaea.928568 2024-06-09T07:43:27+00:00 Meteorological data of the Transarktika 2019 expedition, April 2019 ... Heinemann, Günther Makshtas, Alexander P 2021 application/zip https://dx.doi.org/10.1594/pangaea.928568 https://doi.pangaea.de/10.1594/PANGAEA.928568 en eng PANGAEA https://dx.doi.org/10.3390/atmos12020174 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic regional climate model Sea ice verification CATS - The Changing Arctic Transpolar System CATS article Collection Bundled Publication of Datasets 2021 ftdatacite https://doi.org/10.1594/pangaea.92856810.3390/atmos12020174 2024-05-13T12:44:57Z The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. During the drift a meteorological site was installed including a 10m-tower at a distance of 350 m from the vessel. A meteorological temperature profiler and a water vapor radiometer were installed on the second open deck of R/V "Akademik Treshnikov" at the height 30 m. Radiosoundings were carried out twice-daily. The regional climate model COSMO-CLM (CCLM) was used with a horizontal resolution of 5 km for the Barents and Kara Sea. Model output is available every 1 h. In the vertical, the model extends up to 22 km with 60 vertical levels. Sea ice concentration was taken from AMSR2 data. Sea ice thickness was prescribed daily from interpolated Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) fields. ... Article in Journal/Newspaper Arctic Franz Josef Land Kara Sea Sea ice Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Franz Josef Land ENVELOPE(55.000,55.000,81.000,81.000) Kara Sea Svalbard |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic regional climate model Sea ice verification CATS - The Changing Arctic Transpolar System CATS |
spellingShingle |
Arctic regional climate model Sea ice verification CATS - The Changing Arctic Transpolar System CATS Heinemann, Günther Makshtas, Alexander P Meteorological data of the Transarktika 2019 expedition, April 2019 ... |
topic_facet |
Arctic regional climate model Sea ice verification CATS - The Changing Arctic Transpolar System CATS |
description |
The ship-based experiment Transarktika 2019 was performed during April 2019 in the area between Svalbard and Franz Josef Land. The R/V "Akademik Treshnikov" drifted during this month with the sea ice. During the drift a meteorological site was installed including a 10m-tower at a distance of 350 m from the vessel. A meteorological temperature profiler and a water vapor radiometer were installed on the second open deck of R/V "Akademik Treshnikov" at the height 30 m. Radiosoundings were carried out twice-daily. The regional climate model COSMO-CLM (CCLM) was used with a horizontal resolution of 5 km for the Barents and Kara Sea. Model output is available every 1 h. In the vertical, the model extends up to 22 km with 60 vertical levels. Sea ice concentration was taken from AMSR2 data. Sea ice thickness was prescribed daily from interpolated Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) fields. ... |
format |
Article in Journal/Newspaper |
author |
Heinemann, Günther Makshtas, Alexander P |
author_facet |
Heinemann, Günther Makshtas, Alexander P |
author_sort |
Heinemann, Günther |
title |
Meteorological data of the Transarktika 2019 expedition, April 2019 ... |
title_short |
Meteorological data of the Transarktika 2019 expedition, April 2019 ... |
title_full |
Meteorological data of the Transarktika 2019 expedition, April 2019 ... |
title_fullStr |
Meteorological data of the Transarktika 2019 expedition, April 2019 ... |
title_full_unstemmed |
Meteorological data of the Transarktika 2019 expedition, April 2019 ... |
title_sort |
meteorological data of the transarktika 2019 expedition, april 2019 ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.928568 https://doi.pangaea.de/10.1594/PANGAEA.928568 |
long_lat |
ENVELOPE(55.000,55.000,81.000,81.000) |
geographic |
Arctic Franz Josef Land Kara Sea Svalbard |
geographic_facet |
Arctic Franz Josef Land Kara Sea Svalbard |
genre |
Arctic Franz Josef Land Kara Sea Sea ice Svalbard |
genre_facet |
Arctic Franz Josef Land Kara Sea Sea ice Svalbard |
op_relation |
https://dx.doi.org/10.3390/atmos12020174 |
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.92856810.3390/atmos12020174 |
_version_ |
1801372265284108288 |