TIAN Zhongxiang, CHENG Bin, ZHAO Jiechen, VIHMA Timo, ZHANG Wenliang, LI Zhijun, ZHANG Zhanhai. Observed and modelled snow and ice thickness in the Arctic Ocean with CHINARE buoy data[J]. Acta Oceanologica Sinica, 2017, 36(8): 66-75. doi: 10.1007/s13131-017-1020-4
Citation: TIAN Zhongxiang, CHENG Bin, ZHAO Jiechen, VIHMA Timo, ZHANG Wenliang, LI Zhijun, ZHANG Zhanhai. Observed and modelled snow and ice thickness in the Arctic Ocean with CHINARE buoy data[J]. Acta Oceanologica Sinica, 2017, 36(8): 66-75. doi: 10.1007/s13131-017-1020-4

Observed and modelled snow and ice thickness in the Arctic Ocean with CHINARE buoy data

doi: 10.1007/s13131-017-1020-4
  • Received Date: 2016-03-02
  • Sea ice and the snow pack on top of it were investigated using Chinese National Arctic Research Expedition (CHINARE) buoy data. Two polar hydrometeorological drifters, known as Zeno® ice stations, were deployed during CHINARE 2003. A new type of high-resolution Snow and Ice Mass Balance Arrays, known as SIMBA buoys, were deployed during CHINARE 2014. Data from those buoys were applied to investigate the thickness of sea ice and snow in the CHINARE domain. A simple approach was applied to estimate the average snow thickness on the basis of Zeno® temperature data. Snow and ice thicknesses were also derived from vertical temperature profile data based on the SIMBA buoys. A one-dimensional snow and ice thermodynamic model (HIGHTSI) was applied to calculate the snow and ice thickness along the buoy drift trajectories. The model forcing was based on forecasts and analyses of the European Centre for Medium-Range Weather Forecasts (ECMWF). The Zeno® buoys drifted in a confined area during 2003-2004. The snow thickness modelled applying HIGHTSI was consistent with results based on Zeno® buoy data. The SIMBA buoys drifted from 81.1°N, 157.4°W to 73.5°N, 134.9°W in 15 months during 2014-2015. The total ice thickness increased from an initial August 2014 value of 1.97 m to a maximum value of 2.45 m before the onset of snow melt in May 2015; the last observation was approximately 1 m in late November 2015. The ice thickness based on HIGHTSI agreed with SIMBA measurements, in particular when the seasonal variation of oceanic heat flux was taken into account, but the modelled snow thickness differed from the observed one. Sea ice thickness derived from SIMBA data was reasonably good in cold conditions, but challenges remain in both snow and ice thickness in summer.
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  • Bennett T J. 1982. A coupled atmosphere-sea ice model study of the role of sea ice in climatic predictability. J Atmos Sci, 39(7):1456-1465
    Blunden J, Arndt D S. 2012. State of the climate in 2011. Bull Am Meteor Soc, 93(7):S1-S282
    Briegleb B P, Bitz C M, Hunke E C, et al. 2004. Scientific description of the sea ice component in the community climate system model, version three. NCAR/TN-463+STR, NCAR Tech Note. Boulder, Colorado:National Center for Atmospheric Research, 1-78
    Cavalieri D J, Parkinson C L. 2012. Arctic sea ice variability and trends, 1979-2010. Cryosphere, 6(4):881-889
    Cheng Bin, Launiainen J. 1998. A one-dimensional thermodynamic air-ice-water model:technical and algorithm description report. Rep Ser Finn Inst Mar Res, 37:15-35
    Cheng Bin, Launiainen J, Vihma T. 2003. Modelling of superimposed ice formation and sub-surface melting in the Baltic Sea. Geophysica, 39(1-2):31-50
    Cheng Bin, Vihma T, Pirazzini R, et al. 2006. Modelling of superimposed ice formation during the spring snowmelt period in the Baltic Sea. Ann Glaciol, 44(1):139-146
    Cheng Bin, Zhang Zhanhai, Vihma T, et al. 2008. Model experiments on snow and ice thermodynamics in the Arctic Ocean with CHINARE 2003 data. J Geophys Res, 113(C9):C09020
    Cheng Bin, Vihma T, Rontu L, et al. 2014. Evolution of snow and ice temperature, thickness and energy balance in Lake Orajarvi, northern Finland. Tellus A, 66(1):21564
    Cheng Bin, Zhao Jiechen, Vihma T. 2015. Detection of snow and ice thickness from temperature profiles of unmanned ice mass balance buoys. In:Proceedings of the 30th International Symposium on Okhotsk Sea and Sea Ice. Mombetsu, Hokkaido, Japan:Okhotsk Sea and Cold Ocean Research Association
    Efimova N A. 1961. On methods of calculating monthly values of net longwave radiation. Meteor Gidrol, 10:28-33
    Gascard J C, Festy J, le Goff H, et al. 2008. Exploring Arctic transpolar drift during dramatic sea ice retreat. EOS, 89(3):21-22
    Huwald H, Tremblay L B, Blatter H. 2005. Reconciling different observational data sets from surface heat budget of the Arctic Ocean (SHEBA) for model validation purposes. J Geophys Res, 110(C5):C05009
    Jackson K, Meldrum D, Wilkinson J, et al. 2013. A novel and low cost sea ice mass balance buoy. Journal of Atmospheric & Oceanic Technology, 30(11):2676-2688
    Jacobs J D. 1978. Radiation climate of Broughton Island. In:Barry R G, Jacobs J D, eds. Energy Budget Studies in Relation to Fast-Ice Breakup Processes in Davis Strait. Occasional Paper 26. Boulder, USA:Inst Arctic Alpinc Res, Univ of Colorado, 105-120
    Jakobson E, Vihma T. 2010. Atmospheric moisture budget in the Arctic based on the ERA-40 reanalysis. Int J Climatol, 30(14):2175-2194
    Kwok R, Rothrock D A. 2009. Decline in Arctic sea ice thickness from submarine and ICESat records:1958-2008. Geophys Res Lett, 36(15):L15501
    Launiainen J, Cheng Bin. 1998. Modelling of ice thermodynamics in natural water bodies. Cold Reg Sci Technol, 27(3):153-178
    Lei Ruibo, Li Na, Heil P, et al. 2014. Multiyear sea ice thermal regimes and oceanic heat flux derived from an ice mass balance buoy in the Arctic Ocean. J Geophys Res, 119(1):537-547
    Leppäranta M. 1993. A review of analytical models of sea-ice growth. Atmosphere-Ocean, 31(1):123-138
    Maksimovich E, Vihma T. 2012. The effect of surface heat fluxes on interannual variability in the spring onset of snow melt in the central Arctic Ocean. J Geophys Res, 117(C7):C07012
    Perovich D K, Grenfell T C, Richter-Menge J A, et al. 2003. Thin and thinner:sea ice mass balance measurements during SHEBA. J Geophys Res, 108(C3):8050
    Perovich D K, Richter-Menge J A. 2015. Regional variability in sea ice melt in a changing Arctic. Philos Trans Royal Soc A Math Phys Eng Sci, 373(2045):20140165
    Persson P O G, Fairall C W, Andreas E L, et al. 2002. Measurements near the Atmospheric Surface Flux Group tower at SHEBA:near-surface conditions and surface energy budget. J Geophys Res Atmos, 107(C10):8045
    Richter-Menge J A, Perovich D K, Elder B C, et al. 2006. Ice mass-balance buoys:a tool for measuring and attributing changes in the thickness of the Arctic sea-ice cover. Ann Glaciol, 44(1):205-210
    Semmler T, Cheng Bin, Yang Yu, et al. 2012. Snow and ice on Bear Lake (Alaska)-sensitivity experiments with two lake ice models. Tellus A, 64(1):17339
    Shine K P. 1984. Parametrization of the shortwave flux over high albedo surfaces as a function of cloud thickness and surface albedo. Quart J Roy Meteor Soc, 110(465):747-764
    Uttal T, Curry J A, Mcphee M G, et al. 2002. Surface heat budget of the Arctic Ocean. Bull Am Meteor Soc, 83(2):255-276
    Vihma T, Uotila J, Cheng Bin, et al. 2002. Surface heat budget over the Weddell Sea:buoy results and model comparisons. J Geophys Res, 107(C2):3013
    Wang Caixin, Cheng Bin, Wang Keguang, et al. 2015. Modelling snow ice and superimposed ice on landfast sea ice in Kongsfjorden, Svalbard. Polar Res, 34(1):20828
    Warren S G, Rigor I G, Untersteiner N, et al. 1999. Snow depth on Arctic sea ice. J Climate, 12(6):1814-1829
    Yang Yu, Cheng Bin, Kourzeneva E, et al. 2013. Modelling experiments on air-snow-ice interactions over Kilpisjärvi, a lake in northern Finland. Boreal Environ Res, 18(5):341-358
    Yang Yu, Leppäranta M, Cheng Bin, et al. 2012. Numerical modelling of snow and ice thicknesses in Lake Vanajavesi, Finland. Tellus A, 64(1):17202
    Zhang Zhanhai. 2004. The Report of 2003 Chinese Arctic Research Expedition (in Chinese),:1-229
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