Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T47

DOI

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.

Identifier
DOI https://doi.org/10.1594/PANGAEA.938225
Related Identifier IsPartOf https://doi.org/10.1594/PANGAEA.938244
Related Identifier IsDocumentedBy https://doi.org/10.1175/jtech-d-13-00058.1
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.938225
Provenance
Creator Lei, Ruibo ORCID logo; Cheng, Bin ORCID logo; Hoppmann, Mario ORCID logo; Zuo, Guangyu
Publisher PANGAEA
Publication Year 2021
Funding Reference Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AFMOSAiC-1_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AWI_PS122_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC; National Key Research and Development Program of China https://doi.org/10.13039/501100012166 Crossref Funder ID 2016YFC1400303 ; National Key Research and Development Program of China https://doi.org/10.13039/501100012166 Crossref Funder ID 2018YFA0605903 ; National Natural Science Foundation of China https://doi.org/10.13039/501100001809 Crossref Funder ID 41722605 ; National Natural Science Foundation of China https://doi.org/10.13039/501100001809 Crossref Funder ID 41976219
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 240 data points
Discipline Earth System Research
Spatial Coverage (88.545W, 84.792S, 133.026E, 87.702N); Arctic Ocean
Temporal Coverage Begin 2019-10-13T11:56:00Z
Temporal Coverage End 2020-02-07T23:56:00Z