Preprints
https://doi.org/10.5194/essd-2021-135
https://doi.org/10.5194/essd-2021-135

  30 Apr 2021

30 Apr 2021

Review status: this preprint is currently under review for the journal ESSD.

Inter-annual variation of lake ice composition in European Arctic: observations based on high-resolution thermistor strings

Bin Cheng1, Yubing Cheng2,3,1, Timo Vihma1, Anna Kontu1, Fei Zheng2, Juha Lemmetyinen1,5, Yubao Qiu4,5, and Jouni Puliainen1 Bin Cheng et al.
  • 1Finnish Meteorological Institute (FMI), Finland
  • 2Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 3University of Chinese Academy of Sciences, Beijing, China
  • 4Aerospace information Research Institute (AIR), Chinese Academy of Science, Beijing China
  • 5MI-AIR, Joint Research Center for Arctic Observations, Sodankylä, Finland

Abstract. Climate change and global warming strongly impact the cryosphere. The rise of air temperature and change of precipitation patterns lead to dramatic responses of snow and ice heat and mass balance. Sustainable field observations on lake air-snow-ice-water temperature regime have been carried out in Lake Orajärvi in the vicinity of the Finnish Space Centre, a Flagship Supersite in Sodankylä in Finnish Lapland since 2009. A thermistor string-based snow and ice mass balance buoy called “Snow and ice mass balance apparatus (SIMBA)” was deployed in the lake at the beginning of each ice season. In this paper, we describe snow and ice temperature regimes, snow depth, ice thickness, and ice compositions retrieved from SIMBA observations as well as meteorological variables based on high-quality observations at the Finnish Space Centre. Ice thickness in Lake Orajärvi showed an increasing trend. During the decade of data collection: 1) The November-May mean air temperature had an increasing trend of 0.16º C/year, and the interannual variations were highly correlated (r = 0.93) with the total seasonal accumulated precipitation; 2) The maximum granular ice thickness ranged from 15 to 80 % of the maximum total ice thickness; 3) The snow depth on lake ice was not correlated (r = 0.21) with the total precipitation. The data set can be applied to investigate the lake ice surface heat balance and the role of snow on lake ice mass balance, and to improve the parameterization of snow to ice transformation in snow/ice models. The data are archived at https://zenodo.org/record/4559368#.YIKOOpAzZPZ (Cheng et al., 2021) 

Bin Cheng et al.

Status: open (until 25 Jun 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-135', Keith Jackson, 18 May 2021 reply

Bin Cheng et al.

Data sets

SIMBA snow/ice mass balance buoy data and weather station data Bin Cheng, Yubing Cheng, Timo Vihma, Anna Kontu, Fei Zheng, Juha Lemmetyinen, Yubao Qiu, and Jouni Pulliainen https://doi.org/10.5281/zenodo.4559368

Bin Cheng et al.

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Short summary
Climate change strongly impacts the Arctic region with a clear sign of higher air temperature and more precipitation. A sustainable observation program has been carried out in Lake Orajärvi in Sodankylä, Finnish Lapland. The high-quality air-snow-ice-water temperature profiles are measured every winter since 2009. The data can be used to investigate the lake ice surface heat balance and the role of snow on lake ice mass balance, parameterization of snow to ice transformation in snow/ice models.