Preußer, Andreas; Nicolaus, Marcel; Hoppmann, Mario: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T112 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.973335 (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)
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 2023T112 (a.k.a. AWI_1106) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean (Charcot 2023) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce). 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 2023-08-17T00:00:18 and 2024-02-29T12:00:18. 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):
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 2023T112 [webpage]. SEAICE Portal, https://data.meereisportal.de/relaunch/buoy.php?lang=en&active-tab1=method&active-tab2=buoy&buoyname=2023T112&singlemap=
Buoy Deployment Report 2023T112. 2023T112_deployment.pdf
Preusser, Andreas (2024): Quicklook of SIMBA 2023T112. SIMBA_QUICKLOOK_nh_2023T112_ArcPas_DATA.png
Project(s):
Funding:
Horizon 2020 (H2020), grant/award no. 101003472: Pan-Arctic observing System of Systems: Implementing Observations for societal Needs (Arctic PASSION)
Coverage:
Median Latitude: 85.808906 * Median Longitude: 17.404309 * South-bound Latitude: 76.797900 * West-bound Longitude: -6.486200 * North-bound Latitude: 89.972800 * East-bound Longitude: 128.270400
Date/Time Start: 2023-08-17T00:00:18 * Date/Time End: 2024-02-29T12:00:18
Event(s):
Char2023/1_2023T112 (2023T112; AWI_1106) * Latitude Start: 89.990000 * Longitude Start: 135.423000 * Latitude End: 76.217000 * Longitude End: -3.764000 * Date/Time Start: 2023-08-16T13:05:00 * Date/Time End: 2024-03-09T18:01:43 * O2A Registry URI: registry.o2a-data.de * Location: Central Arctic Ocean * Campaign: Char2023 * Basis: LE COMMANDANT CHARCOT * Method/Device: SAMS Ice Mass Balance buoy (SIMBA)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DATE/TIME | Date/Time | Geocode | |||
2 | LATITUDE | Latitude | Geocode | |||
3 | LONGITUDE | Longitude | Geocode | |||
4 | Sea ice thickness | EsEs | m | Preusser, Andreas | Manual classification | |
5 | Snow thickness | Snow thick | m | Preusser, Andreas | Manual classification | |
6 | Sea ice thickness, uncertainty | EsEs unc | m | Preusser, Andreas | Manual classification | |
7 | Snow thickness, uncertainty | Snow thick unc | m | Preusser, Andreas | Manual classification | |
8 | Distance, atmosphere/snow interface, relative to initial ice surface | Dist rel atm/snow IF | m | Preusser, Andreas | Manual classification | |
9 | Temperature, atmosphere/snow interface | T atm/snow IF | °C | Preusser, Andreas | Manual classification | |
10 | Thermistor number, at atmosphere/snow interface | Thermistor atm/snow IF | Preusser, Andreas | Manual classification | ||
11 | Distance, snow/ice interface, relative to initial ice surface | Dist rel snow/ice IF | m | Preusser, Andreas | Manual classification | |
12 | Temperature, snow/ice interface | T snow/ice IF | °C | Preusser, Andreas | Manual classification | |
13 | Thermistor number, at snow/ice interface | Thermistor snow/ice IF | Preusser, Andreas | Manual classification | ||
14 | Distance, ice/ocean interface, relative to initial ice surface | Dist rel ice/oce IF | m | Preusser, Andreas | Manual classification | |
15 | Temperature, ice/ocean interface | T ice/oce IF | °C | Preusser, Andreas | Manual classification | |
16 | Thermistor number, at ice/ocean interface | Thermistor ice/oce IF | Preusser, Andreas | Manual 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:
6360 data points
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