Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T67 ...

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:
Arctic Ocean
ice thickness
mass balance
Mosaic
Sea ice
snow depth
DATE/TIME
LATITUDE
LONGITUDE
Ice thickness
Snow thickness
SAMS Ice Mass Balance buoy
Manual identification method
AF-MOSAiC-1
PS122/4
Akademik Fedorov
Polarstern
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
Arctic
Online Access:https://dx.doi.org/10.1594/pangaea.938233
https://doi.pangaea.de/10.1594/PANGAEA.938233
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 ...

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