The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020

One unmanned ice station (UIS) has been deployed at the L3 site (85.13ºN, 135.68ºE) of the Distributed Network (DN) of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign on 10 October 2019. The UIS is a new prototype of IMB assembled by the Polar Research In...

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Main Authors: Lei, Ruibo, Yuan, Zhuoli, Zuo, Guangyu, Lin, Long, Wang, Hangzhou
Format: Other/Unknown Material
Language:English
Published: PANGAEA 2022
Subjects:
Uis
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.940188
https://doi.org/10.1594/PANGAEA.940188
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.940188
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.940188 2024-10-06T13:46:17+00:00 The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020 Lei, Ruibo Yuan, Zhuoli Zuo, Guangyu Lin, Long Wang, Hangzhou MEDIAN LATITUDE: 82.093794 * MEDIAN LONGITUDE: 56.911694 * SOUTH-BOUND LATITUDE: 74.098217 * WEST-BOUND LONGITUDE: -17.667015 * NORTH-BOUND LATITUDE: 88.658426 * EAST-BOUND LONGITUDE: 136.138106 * DATE/TIME START: 2019-10-09T07:00:00 * DATE/TIME END: 2020-09-28T21:02:00 2022 application/zip, 5 datasets https://doi.pangaea.de/10.1594/PANGAEA.940188 https://doi.org/10.1594/PANGAEA.940188 en eng PANGAEA Krumpen, Thomas; Sokolov, Vladimir (2020): The Expedition AF122/1 : Setting up the MOSAiC Distributed Network in October 2019 with Research Vessel AKADEMIK FEDOROV. Berichte zur Polar- und Meeresforschung = Reports on Polar and Marine Research, 744, 119 pp, https://doi.org/10.2312/BzPM_0744_2020 https://doi.pangaea.de/10.1594/PANGAEA.940188 https://doi.org/10.1594/PANGAEA.940188 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess AF-MOSAiC-1 AF-MOSAiC-1_100 Akademik Fedorov Arctic Ocean CT package MOSAiC MOSAiC20192020 AF122/1 MOSAiC expedition Multidisciplinary drifting Observatory for the Study of Arctic Climate Polarstern PS122/1_1-263 PS122/4 PS122/4_43-177 Sea ice mass balance UnIS Unmanned ice station dataset bundled publication 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94018810.2312/BzPM_0744_2020 2024-09-11T00:15:18Z One unmanned ice station (UIS) has been deployed at the L3 site (85.13ºN, 135.68ºE) of the Distributed Network (DN) of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign on 10 October 2019. The UIS is a new prototype of IMB assembled by the Polar Research Institute of China, which consists of two separate units (ice and ocean) to measure physical parameters of the air-snow-sea ice-ocean system. For the ice unit, two acoustic sensors (Campbell SR50A and Teledyne-Benthos PSA916, respectively) are used to measure the relative changes in the position of the air/snow and ice/water interfaces. Thermistors (Maxim Integrated DS28EA00) mounted at 0.03 m spacing along a 4.5-m thermistor chain were used to measure temperature profiles. Air temperature and relative humidity (Vaisala HMP155A), as well as barometric pressure (Vaisala CS106), were measured at 1.5 m height above the initial snow surface. The UIS ocean unit (CT package) consisted of five conductivity & temperature sensors (RBR duo CT), one conductivity, and temperature & depth (pressure) sensor (RBR concerto CTD). The ocean unit were used to measure upper ocean at the depths of about 5-40 m, with the initial depths of 5.4, 10.4, 15.4, 20.4, 25.4, and 40.4 m. The ice and ocean units of UIS were deployed 10 m apart. The initial ice thickness and snow depth at the buoy deployment site were 1.53 and 0.15 m, respectively. The changes in ice thickness was determined using measurements by the underwater acoustic sounder. The measuring noise of the acoustic sounder has been removed. Since the acoustic sensor at the surface was invalid very soon after the deployment, the evolution of the air/snow interface was determined using the temperature profiles. Overall, the measurement accuracy was 0.1 K for temperature, 0.03 m for the snow or ice surface, and 0.01 m for the ice bottom, respectively. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The changes in the ... Other/Unknown Material Arctic Arctic Ocean Berichte zur Polar- und Meeresforschung Polar Research Institute of China Reports on Polar and Marine Research Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean Uis ENVELOPE(141.975,141.975,60.184,60.184) ENVELOPE(-17.667015,136.138106,88.658426,74.098217)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AF-MOSAiC-1
AF-MOSAiC-1_100
Akademik Fedorov
Arctic Ocean
CT package
MOSAiC
MOSAiC20192020
AF122/1
MOSAiC expedition
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1_1-263
PS122/4
PS122/4_43-177
Sea ice mass balance
UnIS
Unmanned ice station
spellingShingle AF-MOSAiC-1
AF-MOSAiC-1_100
Akademik Fedorov
Arctic Ocean
CT package
MOSAiC
MOSAiC20192020
AF122/1
MOSAiC expedition
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1_1-263
PS122/4
PS122/4_43-177
Sea ice mass balance
UnIS
Unmanned ice station
Lei, Ruibo
Yuan, Zhuoli
Zuo, Guangyu
Lin, Long
Wang, Hangzhou
The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020
topic_facet AF-MOSAiC-1
AF-MOSAiC-1_100
Akademik Fedorov
Arctic Ocean
CT package
MOSAiC
MOSAiC20192020
AF122/1
MOSAiC expedition
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1_1-263
PS122/4
PS122/4_43-177
Sea ice mass balance
UnIS
Unmanned ice station
description One unmanned ice station (UIS) has been deployed at the L3 site (85.13ºN, 135.68ºE) of the Distributed Network (DN) of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign on 10 October 2019. The UIS is a new prototype of IMB assembled by the Polar Research Institute of China, which consists of two separate units (ice and ocean) to measure physical parameters of the air-snow-sea ice-ocean system. For the ice unit, two acoustic sensors (Campbell SR50A and Teledyne-Benthos PSA916, respectively) are used to measure the relative changes in the position of the air/snow and ice/water interfaces. Thermistors (Maxim Integrated DS28EA00) mounted at 0.03 m spacing along a 4.5-m thermistor chain were used to measure temperature profiles. Air temperature and relative humidity (Vaisala HMP155A), as well as barometric pressure (Vaisala CS106), were measured at 1.5 m height above the initial snow surface. The UIS ocean unit (CT package) consisted of five conductivity & temperature sensors (RBR duo CT), one conductivity, and temperature & depth (pressure) sensor (RBR concerto CTD). The ocean unit were used to measure upper ocean at the depths of about 5-40 m, with the initial depths of 5.4, 10.4, 15.4, 20.4, 25.4, and 40.4 m. The ice and ocean units of UIS were deployed 10 m apart. The initial ice thickness and snow depth at the buoy deployment site were 1.53 and 0.15 m, respectively. The changes in ice thickness was determined using measurements by the underwater acoustic sounder. The measuring noise of the acoustic sounder has been removed. Since the acoustic sensor at the surface was invalid very soon after the deployment, the evolution of the air/snow interface was determined using the temperature profiles. Overall, the measurement accuracy was 0.1 K for temperature, 0.03 m for the snow or ice surface, and 0.01 m for the ice bottom, respectively. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The changes in the ...
format Other/Unknown Material
author Lei, Ruibo
Yuan, Zhuoli
Zuo, Guangyu
Lin, Long
Wang, Hangzhou
author_facet Lei, Ruibo
Yuan, Zhuoli
Zuo, Guangyu
Lin, Long
Wang, Hangzhou
author_sort Lei, Ruibo
title The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020
title_short The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020
title_full The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020
title_fullStr The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020
title_full_unstemmed The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020
title_sort ice mass balance and ct package data of the buoy unmanned ice station collected in arctic ocean during the mosaic expedition 2019/2020
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.940188
https://doi.org/10.1594/PANGAEA.940188
op_coverage MEDIAN LATITUDE: 82.093794 * MEDIAN LONGITUDE: 56.911694 * SOUTH-BOUND LATITUDE: 74.098217 * WEST-BOUND LONGITUDE: -17.667015 * NORTH-BOUND LATITUDE: 88.658426 * EAST-BOUND LONGITUDE: 136.138106 * DATE/TIME START: 2019-10-09T07:00:00 * DATE/TIME END: 2020-09-28T21:02:00
long_lat ENVELOPE(141.975,141.975,60.184,60.184)
ENVELOPE(-17.667015,136.138106,88.658426,74.098217)
geographic Arctic
Arctic Ocean
Uis
geographic_facet Arctic
Arctic Ocean
Uis
genre Arctic
Arctic Ocean
Berichte zur Polar- und Meeresforschung
Polar Research Institute of China
Reports on Polar and Marine Research
Sea ice
genre_facet Arctic
Arctic Ocean
Berichte zur Polar- und Meeresforschung
Polar Research Institute of China
Reports on Polar and Marine Research
Sea ice
op_relation Krumpen, Thomas; Sokolov, Vladimir (2020): The Expedition AF122/1 : Setting up the MOSAiC Distributed Network in October 2019 with Research Vessel AKADEMIK FEDOROV. Berichte zur Polar- und Meeresforschung = Reports on Polar and Marine Research, 744, 119 pp, https://doi.org/10.2312/BzPM_0744_2020
https://doi.pangaea.de/10.1594/PANGAEA.940188
https://doi.org/10.1594/PANGAEA.940188
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.94018810.2312/BzPM_0744_2020
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