Preprints
https://doi.org/10.5194/tc-2022-241
https://doi.org/10.5194/tc-2022-241
13 Feb 2023
 | 13 Feb 2023
Status: this discussion paper is a preprint. It has been under review for the journal The Cryosphere (TC). The manuscript was not accepted for further review after discussion.

Variations of ice thickness in a reservoir along Irtysh River: field measurement and regression analysis

Chuntan Han, Chao Kang, Chengxian Zhao, Jianhua Luo, and Rensheng Chen

Abstract. This paper presents the analysis results of temperatures collected at three monitoring stations which were used to study ice freezing and thawing processes on a reservoir along Irtysh River. The measured temperatures were comprehensively analyzed and correlated with air temperature measured at a meteorological station. The results showed that air temperature was closely related to temperature at the ice surface, e.g., T40, T20 and T0, and temperatures in ice almost increased linearly with depth. In addition, ice thicknesses were calculated based on measured temperatures along arrays of temperature and compared with that calculated using a simplified Stefan’s model. The results indicated that ice thickness varied spatially and temporally, and Stefan’s model overestimated the ice thicknesses with a maximum discrepancy of 12 cm. Moreover, the calculated ice thickness was correlated with temperatures, variations of temperature and accumulated freezing degree days (AFDD) based on Pearson correlation analysis, showing that ice thickness was proportional to AFDD with a coefficient of 0.89, and negatively correlated with T0, T−3, and Tice(c) with coefficients of −0.69, −0.73 and −0.62, respectively. Therefore, linear and non-linear models were proposed, which were validated using datasets from three stations in Russia and Finland, demonstrating that the linear model incorporating AFDD and T0 can capture local ice freezing and thawing processes with a relatively minor discrepancy, and the results were consistent at different stations. The paper provides an approach to comprehensively study the ice formation process and a practical model to calculate local ice thickness.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Chuntan Han, Chao Kang, Chengxian Zhao, Jianhua Luo, and Rensheng Chen

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2022-241', Anonymous Referee #1, 07 Mar 2023
    • AC1: 'Reply on RC1', Chao Kang, 30 Mar 2023
  • RC2: 'Comment on tc-2022-241', Anonymous Referee #2, 12 Mar 2023
    • AC2: 'Reply on RC2', Chao Kang, 31 Mar 2023
  • CC1: 'Comment on tc-2022-241', Ilya Aslamov, 04 Apr 2023
  • EC1: 'Comment on tc-2022-241 by the handing editor', Bin Cheng, 08 Apr 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2022-241', Anonymous Referee #1, 07 Mar 2023
    • AC1: 'Reply on RC1', Chao Kang, 30 Mar 2023
  • RC2: 'Comment on tc-2022-241', Anonymous Referee #2, 12 Mar 2023
    • AC2: 'Reply on RC2', Chao Kang, 31 Mar 2023
  • CC1: 'Comment on tc-2022-241', Ilya Aslamov, 04 Apr 2023
  • EC1: 'Comment on tc-2022-241 by the handing editor', Bin Cheng, 08 Apr 2023
Chuntan Han, Chao Kang, Chengxian Zhao, Jianhua Luo, and Rensheng Chen
Chuntan Han, Chao Kang, Chengxian Zhao, Jianhua Luo, and Rensheng Chen

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Short summary
This paper presents analysis results of temperatures collected at three monitoring stations on a reservoir along Irtysh River. Temperatures close to ice surface were analyzed and correlated with air temperature. Ice thickness was correlated with temperatures, variations of temperature and AFDD. Regression models were proposed and compared using the dataset in this study which was then validated using data from stations in Russia and Finland.