Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T69

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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Bibliographic Details
Main Authors: Lei, Ruibo, Cheng, Bin, Hoppmann, Mario, Zuo, Guangyu
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
AF-MOSAiC-1
AF-MOSAiC-1_128
Akademik Fedorov
Arctic Ocean
DATE/TIME
ice thickness
LATITUDE
LONGITUDE
Manual identification method
mass balance
Mosaic
MOSAiC20192020
AF122/1
Multidisciplinary drifting Observatory for the Study of Arctic Climate
PS122/1_1-172
2019T69
SAMS Ice Mass Balance buoy
Sea ice
SIMBA
snow depth
Snow thickness
Arctic
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.938235
https://doi.org/10.1594/PANGAEA.938235
Description
Summary: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 superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt.

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