Lei, Ruibo; Cheng, Bin; Hoppmann, Mario; Zuo, Guangyu (2021): Snow depth and sea ice thickness derived from the measurements of SIMBA buoy 2019T69 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.938235, In: Lei, R et al. (2021): Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.938244
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Abstract:
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.
Related to:
Lei, Ruibo; Cheng, Bin; Hoppmann, Mario; Zhang, Fanyi; Zuo, Guangyu; Hutchings, Jennifer K; Lin, Long; Lan, Musheng; Wang, Hangzhou; Regnery, Julia; Krumpen, Thomas; Haapala, Jari; Rabe, Benjamin; Perovich, Donald K; Nicolaus, Marcel (2022): Seasonality and timing of sea ice mass balance and heat fluxes in the Arctic transpolar drift during 2019–2020. Elementa - Science of the Anthropocene, 10(1), 000089, https://doi.org/10.1525/elementa.2021.000089
Further details:
Jackson, Keith; Wilkinson, Jeremy; Maksym, Ted; Meldrum, David T; Beckers, Justin; Haas, Christian; Mackenzie, David (2013): A Novel and Low-Cost Sea Ice Mass Balance Buoy. Journal of Atmospheric and Oceanic Technology, 30(11), 2676-2688, https://doi.org/10.1175/jtech-d-13-00058.1
Project(s):
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Coverage:
Median Latitude: 86.408345 * Median Longitude: 114.679751 * South-bound Latitude: 84.854623 * West-bound Longitude: 90.109433 * North-bound Latitude: 87.620675 * East-bound Longitude: 134.861082
Date/Time Start: 2019-10-12T00:01:00 * Date/Time End: 2020-01-31T00:02:00
Event(s):
AF-MOSAiC-1_128 (PS122/1_1-172, 2019T69) * Latitude Start: 84.987250 * Longitude Start: 134.489030 * Latitude End: 73.415210 * Longitude End: -20.658910 * Date/Time Start: 2019-10-11T02:00:00 * Date/Time End: 2020-09-30T01:01:00 * O2A Registry URI: registry.o2a-data.de * Location: Arctic Ocean * Campaign: AF-MOSAiC-1 (MOSAiC20192020, AF122/1) * Basis: Akademik Fedorov * Method/Device: SAMS Ice Mass Balance buoy (SIMBA) * Comment: Station M8__Measurement:Snow and ice temperature profile__Comment:ice thickness 0.70 m and snow depth 0.10 m__Old Labels:M8_SIMBA12_PRIC,FMI_20191011,PS122/1_1-172; total failure: 2020-09-30
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Lei, Ruibo | Geocode | ||
| 2 | LATITUDE | Latitude | Lei, Ruibo | Geocode | ||
| 3 | LONGITUDE | Longitude | Lei, Ruibo | Geocode | ||
| 4 | Ice thickness | Ice thick | m | Lei, Ruibo | Manual identification method | |
| 5 | Snow thickness | Snow thick | m | Lei, Ruibo | Manual identification method |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
224 data points