Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season

A thermistor string-based snow and ice mass balance apparatus (SIMBA) was deployed in the land-fast sea ice zone in Young sound, eastern Greenland, on 28 October 2020, and operated successfully until 10 April 2021. The SIMBA was manufactured by the Scottish Association for Marine Science (SAMS) (Jac...

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Main Authors: Cheng, Bin, Sejr, Mikael K, Cheng, Yubing, Winding, Mie Hylstofte Sichlau
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.959824
https://doi.org/10.1594/PANGAEA.959824
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.959824
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.959824 2023-08-20T03:59:49+02:00 Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season Cheng, Bin Sejr, Mikael K Cheng, Yubing Winding, Mie Hylstofte Sichlau MEDIAN LATITUDE: 74.314493 * MEDIAN LONGITUDE: -20.249277 * SOUTH-BOUND LATITUDE: 74.314413 * WEST-BOUND LONGITUDE: -20.249790 * NORTH-BOUND LATITUDE: 74.315253 * EAST-BOUND LONGITUDE: -20.249106 * DATE/TIME START: 2020-10-28T00:00:00 * DATE/TIME END: 2021-05-17T00:00:00 2023 application/zip, 5 datasets https://doi.pangaea.de/10.1594/PANGAEA.959824 https://doi.org/10.1594/PANGAEA.959824 en eng PANGAEA Batrak, Yurii; Cheng, Bin; Kallio-Myers, Viivi (in review): Sea ice cover in the Copernicus Arctic Regional Reanalysis. https://doi.org/10.5194/tc-2023-74 Cheng, Yubing; Cheng, Bin; Zheng, Fei; Vihma, Timo; Kontu, Anna; Yang, Qinghua; Liao, Zeliang (2020): Air/snow, snow/ice and ice/water interfaces detection from high-resolution vertical temperature profiles measured by ice mass-balance buoys on an Arctic lake. Annals of Glaciology, 61(83), 309-319, https://doi.org/10.1017/aog.2020.51 Jackson, Keith; Wilkinson, Jeremy; Maksym, Ted; Meldrum, David T; Beckers, Justin; Haas, Christian; Mackenzie, David (2013): A Novel and Low-Cost Sea Ice Mass Balance Buoy. Journal of Atmospheric and Oceanic Technology, 30(11), 2676-2688, https://doi.org/10.1175/jtech-d-13-00058.1 Thompson, Phillip; Jackson, Keith; Cheng, Bin (2020): The Snow and Ice Mass Balance Apparatus. Environment, Coastal & Offshore (ECO) Magazine, SI POLAR 2020, 98-102, https://www.mydigitalpublication.com/publication/frame.php?i=674747&p=&pn=&ver=html5&view=articleBrowser&article_id=3771615 https://doi.pangaea.de/10.1594/PANGAEA.959824 https://doi.org/10.1594/PANGAEA.959824 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Arctic Ocean ice thickness INTAROS Integrated Arctic observation system mass balance snow depth temperature gradient Dataset 2023 ftpangaea https://doi.org/10.1594/PANGAEA.95982410.5194/tc-2023-7410.1017/aog.2020.5110.1175/jtech-d-13-00058.1 2023-07-31T10:21:16Z A thermistor string-based snow and ice mass balance apparatus (SIMBA) was deployed in the land-fast sea ice zone in Young sound, eastern Greenland, on 28 October 2020, and operated successfully until 10 April 2021. The SIMBA was manufactured by the Scottish Association for Marine Science (SAMS) (Jackson et al., 2013). Two types of temperatures were measured by the SIMBA. The temperature of air, snow, ice, and water where SIMBA thermistor sensors were placed, is named as SIMBA_ET. The temperature reading after each thermistor sensor was applied with an identical amount of heat, is named SIMBA_HT. The amount of heat was controlled by the duration of heating, often configured as the 30s and 120s, respectively. The SIMBA_ET and SIMBA_HT were measured four times per day and one time per day, respectively. So SIMBA_HT(30) and SIMBA_HT(120) represent the sensor temperature changes in air, snow, ice, and water after a heating cycle of the 30s and 120s, respectively. The length of the SIMBA thermistor chain is 4.8m. There are 240 thermistor sensors (DS28EA00, accurate to +/- 0.0625°C) with 0.02 m spacing. Combined with a SIMBA algorithm (Cheng et al., 2020) and manual analyses, snow depth and ice thickness can be derived from SIMBA_ET and SMMBA_HT observations. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. The submitted data package includes 6 data files, i.e., SIMBA GPS position; snow depth; ice thickness; SIMBA_ET, as well as in situ snow depth and ice thickness measured by the local personnel. Dataset Annals of Glaciology Arctic Arctic Arctic Ocean Greenland Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean Greenland ENVELOPE(-20.249790,-20.249106,74.315253,74.314413)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Arctic Ocean
ice thickness
INTAROS
Integrated Arctic observation system
mass balance
snow depth
temperature gradient
spellingShingle Arctic Ocean
ice thickness
INTAROS
Integrated Arctic observation system
mass balance
snow depth
temperature gradient
Cheng, Bin
Sejr, Mikael K
Cheng, Yubing
Winding, Mie Hylstofte Sichlau
Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season
topic_facet Arctic Ocean
ice thickness
INTAROS
Integrated Arctic observation system
mass balance
snow depth
temperature gradient
description A thermistor string-based snow and ice mass balance apparatus (SIMBA) was deployed in the land-fast sea ice zone in Young sound, eastern Greenland, on 28 October 2020, and operated successfully until 10 April 2021. The SIMBA was manufactured by the Scottish Association for Marine Science (SAMS) (Jackson et al., 2013). Two types of temperatures were measured by the SIMBA. The temperature of air, snow, ice, and water where SIMBA thermistor sensors were placed, is named as SIMBA_ET. The temperature reading after each thermistor sensor was applied with an identical amount of heat, is named SIMBA_HT. The amount of heat was controlled by the duration of heating, often configured as the 30s and 120s, respectively. The SIMBA_ET and SIMBA_HT were measured four times per day and one time per day, respectively. So SIMBA_HT(30) and SIMBA_HT(120) represent the sensor temperature changes in air, snow, ice, and water after a heating cycle of the 30s and 120s, respectively. The length of the SIMBA thermistor chain is 4.8m. There are 240 thermistor sensors (DS28EA00, accurate to +/- 0.0625°C) with 0.02 m spacing. Combined with a SIMBA algorithm (Cheng et al., 2020) and manual analyses, snow depth and ice thickness can be derived from SIMBA_ET and SMMBA_HT observations. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. The submitted data package includes 6 data files, i.e., SIMBA GPS position; snow depth; ice thickness; SIMBA_ET, as well as in situ snow depth and ice thickness measured by the local personnel.
format Dataset
author Cheng, Bin
Sejr, Mikael K
Cheng, Yubing
Winding, Mie Hylstofte Sichlau
author_facet Cheng, Bin
Sejr, Mikael K
Cheng, Yubing
Winding, Mie Hylstofte Sichlau
author_sort Cheng, Bin
title Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season
title_short Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season
title_full Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season
title_fullStr Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season
title_full_unstemmed Snow depth and sea ice thickness derived from a SIMBA buoy (FMI0606) temperature measurement in the Young sound, eastern Greenland land-fast ice zone for the 2020/2021 ice season
title_sort snow depth and sea ice thickness derived from a simba buoy (fmi0606) temperature measurement in the young sound, eastern greenland land-fast ice zone for the 2020/2021 ice season
publisher PANGAEA
publishDate 2023
url https://doi.pangaea.de/10.1594/PANGAEA.959824
https://doi.org/10.1594/PANGAEA.959824
op_coverage MEDIAN LATITUDE: 74.314493 * MEDIAN LONGITUDE: -20.249277 * SOUTH-BOUND LATITUDE: 74.314413 * WEST-BOUND LONGITUDE: -20.249790 * NORTH-BOUND LATITUDE: 74.315253 * EAST-BOUND LONGITUDE: -20.249106 * DATE/TIME START: 2020-10-28T00:00:00 * DATE/TIME END: 2021-05-17T00:00:00
long_lat ENVELOPE(-20.249790,-20.249106,74.315253,74.314413)
geographic Arctic
Arctic Ocean
Greenland
geographic_facet Arctic
Arctic Ocean
Greenland
genre Annals of Glaciology
Arctic
Arctic
Arctic Ocean
Greenland
Sea ice
genre_facet Annals of Glaciology
Arctic
Arctic
Arctic Ocean
Greenland
Sea ice
op_relation Batrak, Yurii; Cheng, Bin; Kallio-Myers, Viivi (in review): Sea ice cover in the Copernicus Arctic Regional Reanalysis. https://doi.org/10.5194/tc-2023-74
Cheng, Yubing; Cheng, Bin; Zheng, Fei; Vihma, Timo; Kontu, Anna; Yang, Qinghua; Liao, Zeliang (2020): Air/snow, snow/ice and ice/water interfaces detection from high-resolution vertical temperature profiles measured by ice mass-balance buoys on an Arctic lake. Annals of Glaciology, 61(83), 309-319, https://doi.org/10.1017/aog.2020.51
Jackson, Keith; Wilkinson, Jeremy; Maksym, Ted; Meldrum, David T; Beckers, Justin; Haas, Christian; Mackenzie, David (2013): A Novel and Low-Cost Sea Ice Mass Balance Buoy. Journal of Atmospheric and Oceanic Technology, 30(11), 2676-2688, https://doi.org/10.1175/jtech-d-13-00058.1
Thompson, Phillip; Jackson, Keith; Cheng, Bin (2020): The Snow and Ice Mass Balance Apparatus. Environment, Coastal & Offshore (ECO) Magazine, SI POLAR 2020, 98-102, https://www.mydigitalpublication.com/publication/frame.php?i=674747&p=&pn=&ver=html5&view=articleBrowser&article_id=3771615
https://doi.pangaea.de/10.1594/PANGAEA.959824
https://doi.org/10.1594/PANGAEA.959824
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.95982410.5194/tc-2023-7410.1017/aog.2020.5110.1175/jtech-d-13-00058.1
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