Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T58 ...

• 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 expedition; Sea ice; snow depth; DATE/TIME; LATITUDE; LONGITUDE; Snow thickness; SAMS Ice Mass Balance buoy; Manual identification method; AF-MOSAiC-1; AT-MOSAiC-1; Akademik Fedorov; Akademik Tryoshnikov; Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC; Arctic
• Online Access: https://dx.doi.org/10.1594/pangaea.938227; https://doi.pangaea.de/10.1594/PANGAEA.938227

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 ...