Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Preußer, Andreas; Nicolaus, Marcel; Hoppmann, Mario: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2018T53 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.973375 (dataset in review), In: Preußer, A et al.: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoys deployed in the Arctic Ocean and Southern Ocean between 2012 and 2023 [dataset publication series]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.973193 (dataset in review)

Show MapGoogle Earth

Abstract:
The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2018T53 (a.k.a. FMI_0503) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Fedorov Transdrift XXIV (TICE) in 2018) as part of the project FMI. Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2018-09-12T01:00:13 and 2019-09-06T01:00:14. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
Keyword(s):
Arctic PASSION; Autonomous buoy; Ice mass balance; Sea ice interfaces; Sea ice thickness; snow depth; Temperature thermistor
Source:
Hoppmann, Mario; Belter, Hans Jakob; Riemann-Campe, Kathrin; Cheng, Bin: Temperature and heating induced temperature difference measurements from the sea ice mass balance SIMBA 2018T53 [dataset bundled publication]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.967907
References:
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
Additional metadata:
Autonomous measurements of sea ice properties of buoy 2018T53 [webpage]. SEAICE Portal, https://data.meereisportal.de/relaunch/buoy.php?lang=en&active-tab1=method&active-tab2=buoy&buoyname=2018T53&singlemap=
Buoy Deployment Report 2018T53. 2018T53_deployment.pdf
Preusser, Andreas (2024): Quicklook of SIMBA 2018T53. SIMBA_QUICKLOOK_nh_2018T53_ArcPas_DATA.png
Funding:
Horizon 2020 (H2020), grant/award no. 101003472: Pan-Arctic observing System of Systems: Implementing Observations for societal Needs (Arctic PASSION)
Coverage:
Median Latitude: 85.860475 * Median Longitude: -172.006294 * South-bound Latitude: 80.374400 * West-bound Longitude: 0.798500 * North-bound Latitude: 89.836500 * East-bound Longitude: -0.374000
Date/Time Start: 2018-09-12T01:00:13 * Date/Time End: 2019-09-06T01:00:14
Event(s):
TICE/5_2018T53 (2018T53; FMI_0503) * Latitude Start: 80.485470 * Longitude Start: 168.403450 * Latitude End: 83.130680 * Longitude End: -12.331410 * Date/Time Start: 2018-09-11T22:35:00 * Date/Time End: 2020-03-31T05:00:00 * O2A Registry URI: registry.o2a-data.de * Location: Arctic Ocean * Method/Device: SAMS Ice Mass Balance buoy (SIMBA)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeGeocode
2LATITUDELatitudeGeocode
3LONGITUDELongitudeGeocode
4Sea ice thicknessEsEsmPreusser, AndreasManual classification
5Snow thicknessSnow thickmPreusser, AndreasManual classification
6Sea ice thickness, uncertaintyEsEs uncmPreusser, AndreasManual classification
7Snow thickness, uncertaintySnow thick uncmPreusser, AndreasManual classification
8Distance, atmosphere/snow interface, relative to initial ice surfaceDist rel atm/snow IFmPreusser, AndreasManual classification
9Temperature, atmosphere/snow interfaceT atm/snow IF°CPreusser, AndreasManual classification
10Thermistor number, at atmosphere/snow interfaceThermistor atm/snow IFPreusser, AndreasManual classification
11Distance, snow/ice interface, relative to initial ice surfaceDist rel snow/ice IFmPreusser, AndreasManual classification
12Temperature, snow/ice interfaceT snow/ice IF°CPreusser, AndreasManual classification
13Thermistor number, at snow/ice interfaceThermistor snow/ice IFPreusser, AndreasManual classification
14Distance, ice/ocean interface, relative to initial ice surfaceDist rel ice/oce IFmPreusser, AndreasManual classification
15Temperature, ice/ocean interfaceT ice/oce IF°CPreusser, AndreasManual classification
16Thermistor number, at ice/ocean interfaceThermistor ice/oce IFPreusser, AndreasManual classification
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
13947 data points

Download Data (login required)

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML (shows only first 2000 rows)