Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ...
The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the A...
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ftdatacite:10.1594/pangaea.938244 2024-06-09T07:43:26+00:00 Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... Lei, Ruibo Cheng, Bin Hoppmann, Mario Zuo, Guangyu 2021 application/zip https://dx.doi.org/10.1594/pangaea.938244 https://doi.pangaea.de/10.1594/PANGAEA.938244 en eng PANGAEA https://dx.doi.org/10.1175/jtech-d-13-00058.1 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic Ocean ice thickness mass balance Mosaic Sea ice snow depth SAMS Ice Mass Balance buoy AF-MOSAiC-1 AT-MOSAiC-1 PS122/1 PS122/3 PS122/4 Akademik Fedorov Akademik Tryoshnikov Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Publication Series of Datasets article Collection 2021 ftdatacite https://doi.org/10.1594/pangaea.93824410.1175/jtech-d-13-00058.1 2024-05-13T12:44:57Z The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and ... Article in Journal/Newspaper Arctic Arctic Ocean Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic Ocean ice thickness mass balance Mosaic Sea ice snow depth SAMS Ice Mass Balance buoy AF-MOSAiC-1 AT-MOSAiC-1 PS122/1 PS122/3 PS122/4 Akademik Fedorov Akademik Tryoshnikov Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
Arctic Ocean ice thickness mass balance Mosaic Sea ice snow depth SAMS Ice Mass Balance buoy AF-MOSAiC-1 AT-MOSAiC-1 PS122/1 PS122/3 PS122/4 Akademik Fedorov Akademik Tryoshnikov Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Lei, Ruibo Cheng, Bin Hoppmann, Mario Zuo, Guangyu Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... |
topic_facet |
Arctic Ocean ice thickness mass balance Mosaic Sea ice snow depth SAMS Ice Mass Balance buoy AF-MOSAiC-1 AT-MOSAiC-1 PS122/1 PS122/3 PS122/4 Akademik Fedorov Akademik Tryoshnikov Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and ... |
format |
Article in Journal/Newspaper |
author |
Lei, Ruibo Cheng, Bin Hoppmann, Mario Zuo, Guangyu |
author_facet |
Lei, Ruibo Cheng, Bin Hoppmann, Mario Zuo, Guangyu |
author_sort |
Lei, Ruibo |
title |
Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... |
title_short |
Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... |
title_full |
Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... |
title_fullStr |
Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... |
title_full_unstemmed |
Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 ... |
title_sort |
snow depth and sea ice thickness derived from the measurements of simba buoys deployed in the arctic ocean during the legs 1a, 1, and 3 of the mosaic campaign in 2019-2020 ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.938244 https://doi.pangaea.de/10.1594/PANGAEA.938244 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_relation |
https://dx.doi.org/10.1175/jtech-d-13-00058.1 |
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.93824410.1175/jtech-d-13-00058.1 |
_version_ |
1801372201342992384 |