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Macfarlane, Amy R; Schneebeli, Martin; Dadic, Ruzica; Wagner, David N; Arndt, Stefanie; Clemens-Sewall, David; Hämmerle, Stefan; Hannula, Henna-Reetta; Jaggi, Matthias; Kolabutin, Nikolai; Krampe, Daniela; Lehning, Michael; Matero, Ilkka; Nicolaus, Marcel; Oggier, Marc; Pirazzini, Roberta; Polashenski, Chris; Raphael, Ian; Regnery, Julia; Shimanchuck, Egor; Smith, Madison M; Tavri, Aikaterini (2022): Snowpit snow water equivalent collected with an ETH tube during the MOSAiC expedition [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.940199, In: Macfarlane, AR et al. (2021): Snowpit raw data collected during the MOSAiC expedition [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.935934

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Abstract:
SWE is the amount of water contained within the snowpack. To determine SWE, the snow depth and density are required. Snow depth (HS) is related to SWE by the local bulk density of snow (ρb): SWE = HS ρb / ρw, where HS is measured in mm, ρb in kg m−3, ρw is the density of water (1000 kg m−3), and SWE is measured in mm of water equivalent. At each snowpit, the ETH-SWE tube, was inserted into the snow vertically and then sealed at the bottom. The weight of the snow inside the cylindrical tube was then measured with a spring scale. If the snow cover is deeper than 0.45 m (height of the tube), then the SWE must be measured in several steps, using a ruler to note the snow height that the sample was taken from. The total water equivalent of the snow cover must be calculated as the sum of the vertically aligned samples. This dataset records the individual sample measurements, explaining why there may be multiple data entries for one snowpit event. We also measured the height of snow in each measurement, so we can back-calculate the snow density using an independent method.
Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
Keyword(s):
SWE
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
Horizon 2020 (H2020), grant/award no. 730965: Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic (ARICE)
Swiss Federal Institute for Forest, Snow and Landscape Research (WSL/FNP), grant/award no. WSL_201812N1678
Swiss National Science Foundation (SNF), grant/award no. 179130: From Cloud to Ground: Snow Accumulation in Extreme Environments
Swiss Polar Institute (SPI), grant/award no. DIRCR-2018-003
Coverage:
Median Latitude: 86.085146 * Median Longitude: 77.105603 * South-bound Latitude: 79.187972 * West-bound Longitude: -2.590231 * North-bound Latitude: 89.087780 * East-bound Longitude: 128.146859
Date/Time Start: 2019-10-25T01:15:00 * Date/Time End: 2020-09-30T08:13:24
Event(s):
PS122/1_4-10 * Latitude: 85.436912 * Longitude: 128.146859 * Date/Time: 2019-10-25T01:15:00 * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Snow pit (SNOWPIT) * Comment: Close to met city
PS122/1_5-5 * Latitude: 85.541385 * Longitude: 126.423526 * Date/Time: 2019-10-28T01:00:00 * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Snow pit (SNOWPIT) * Comment: Close to met city; Slight snowfall, drifting snow, blowing snow
PS122/1_5-28 * Latitude: 85.765642 * Longitude: 123.540397 * Date/Time: 2019-10-31T08:18:00 * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Snow pit (SNOWPIT) * Comment: SMP31; Cc Snowpit: T, Salinity, SWE, SMP31 : at remote sensing site
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 1 (ProcLevel1)
Size:
29.9 kBytes

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