4.6 Article

Snowfall and snow accumulation during the MOSAiC winter and spring seasons

期刊

CRYOSPHERE
卷 16, 期 6, 页码 2373-2402

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/tc-16-2373-2022

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资金

  1. Swiss National Science Foundation [SNSF-200020_179130]
  2. Swiss Polar Institute [DIRCR-2018-003]
  3. European Union [730965]
  4. WSL Institute for Snow and Avalanche Research SLF [WSL_201812N1678]
  5. National Science Foundation [NSF-1820927, OPP-1724551]
  6. NOAA's Physical Sciences Laboratory (PSL)
  7. NOAA's Global Ocean Monitoring and Observing Program (GOMO)
  8. DOE Atmospheric System Research Program [DE-SC0019251, DE-SC0021341]
  9. Research Council of Norway [RCN-287871]
  10. German Research Foundation (DFG) [AR1236/1, NI1095/5]
  11. Alfred Wegener Institute fund AWI_SNOW
  12. Alfred Wegener Institute fund AWI_ICE
  13. Alfred Wegener Institute fund AWI_ROV
  14. U.S. Department of Energy (DOE) [DE-SC0019251, DE-SC0021341] Funding Source: U.S. Department of Energy (DOE)

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Data from the MOSAiC expedition provided detailed information on the temporal dynamics of snowfall, snow accumulation, and erosion in the Arctic. Comparison of different measurement instruments revealed their strengths and weaknesses in measuring precipitation.
Data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition allowed us to investigate the temporal dynamics of snowfall, snow accumulation and erosion in great detail for almost the whole accumulation season (November 2019 to May 2020). We computed cumulative snow water equivalent (SWE) over the sea ice based on snow depth and density retrievals from a SnowMicroPen and approximately weekly measured snow depths along fixed transect paths. We used the derived SWE from the snow cover to compare with precipitation sensors installed during MOSAiC. The data were also compared with ERAS reanalysis snowfall rates for the drift track. We found an accumulated snow mass of 38 mm SWE between the end of October 2019 and end of April 2020. The initial SWE over first-year ice relative to second-year ice increased from 50 % to 90 % by end of the investigation period. Further, we found that the Vaisala Present Weather Detector 22, an optical precipitation sensor, and installed on a railing on the top deck of research vessel Polarstern, was least affected by blowing snow and showed good agreements with SWE retrievals along the transect. On the contrary, the OTT Pluvio 2 pluviometer and the OTT Parsivel 2 laser disdrometer were largely affected by wind and blowing snow, leading to too high measured precipitation rates. These are largely reduced when eliminating drifting snow periods in the comparison. ERAS reveals good timing of the snowfall events and good agreement with ground measurements with an overestimation tendency. Retrieved snowfall from the ship-based K-a-band ARM zenith radar shows good agreements with SWE of the snow cover and differences comparable to those of ERAS. Based on the results, we suggest the K-a-band radar-derived snowfall as an upper limit and the present weather detector on RV Polarstern as a lower limit of a cumulative snowfall range. Based on these findings, we suggest a cumulative snowfall of 72 to 107 mm and a precipitation mass loss of the snow cover due to erosion and sublimation as between 47 % and 68 %, for the time period between 31 October 2019 and 26 April 2020. Extending this period beyond available snow cover measurements, we suggest a cumulative snowfall of 98-114 mm.

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