Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan)
https://doi.org/10.15356/2076-6734-2018-4-559-568
Abstract
Analysis of sample distributions of temperature and salinity within depths of sea ice allowed revealing a high negative correlation between temperature of the surface air layer and the salinity vertical distribution across the ice thickness. Tis situation is explained by the fact that when temperature inside the ice rises the vertically oriented pores flled with brine, and this causes increased flow of brine. But when the temperature of the thickness drops, volumes of these pores signifcantly decrease, and as a result of that stresses near the pores grow and brine is squeezed out to both above and under the ice. Comparison of individual cases of the sample salinity distributions made possible to determine that the temperature of the surface air layer signifcantly influences the freezing intensity. When developing a model of spatiotemporal dynamics of the temperature, the diffusion mechanism of its vertical distribution is adopted, where the thermal conductivity coefcient is a linear function of temperature. A computational scheme for solving the model equations had been developed. Te procedure to estimate the model parameters is given. Te results of the parameter estimations had proved the adequacy of both the sample and the model distributions. A degree of the adequacy is the correlation coefcient between the above distributions. It is shown that the numerical simulation of the spatiotemporal salinity dynamics can be performed in framework of the diffusion mechanism of the vertical distribution, where the diffusion coefcient is a linear function of temperature. Te results of the parameter estimations did also show the adequacy of both the sample and the model distributions.
About the Authors
A. N. ChetyrbotskyRussian Federation
A. U. Lazaryuk
Russian Federation
References
1. Bregman Yu.Ye., Sedova L.G., Manuylov V.A., Petrenko V.S., Kovekovdova L.T., Borisenko G.S., Shul'gina L.V., Simokon M.V., Suhotskaya L.Yu. Comprehensive study of the environment and bottom biota of Novik Bay (Russky Island, Sea of Japan) after many years of human press. Iz-vestiya TINRO. 1998, 124: 320–343. [In Russian].
2. Zvalinskiy V.I., Tishhenko P.P., Mihaylik T.A., Tishchenko P.Ya. Eutrophication of the Amur Bay. Sovremennoe ekologicheskoe sostoyanie zaliva Petra Velikogo Yaponskogo morya. The current ecological state of the Peter The great Bay of the Japan Sea. Vladivostok: Far East Federal University, 2012: 76–113. [In Russian].
3. Mel'nichenko N.A., Mihaylov V.I., Chizhik V.I. Study of the temperature dependence of the relative content of the liquid phase in frozen seawater by the pulsed NMR method. Okeanologiya. Oceanology. 1979, 19 (5): 811–814. [In Russian].
4. Mel'nichenko N.A., Stunzhas P.A. On the process of freezing sea water according to the laboratory measurements by the method of nuclear magnetic resonance. Okeanologiya.Oceanology. 2014, 54 (6): 1–9. [In Russian].
5. Mel'nichenko N.A., Tyuveev A.V., Lazaryuk A.Ju., Savchenko V.G., Kharlamov P.O., Yurtcev A.Yu., Mar'ina E.N. Vertical distribution of brine, temperature and salinity in the fast ice of the Novik Bay (Russian island) Peter the Great Bay. Vestnik DVO.Bulletin of Far East Branch of RAS. 2014, 5: 32–38. [In Russian].
6. Bard J. Nelineynoe otcenivanie parametrov. Nonlinear estimation of parameters. Moscow: Statistics, 1979: 349 p. [In Russian].
7. Bolch B., Huan' K.Dzh . Mnogomernye statisticheskie metody dlya ekonomikiMultidimensional statistical methods for the economy. Moscow: Statistics, 1979: 317 p. [In Russian].
8. Novatskiy V. Dinamicheskie zadachi termouprugosti. Dynamic problems of thermoelasticity. Moscow: Mir, 1970: 256 p. [In Russian].
9. Abuzyarov Z.K., Kudryavaya K.I., Seryakov E.I., Skriptunova L.I. Morskie prognozy. Marine forecasts. Lеningrad: Gidrometeoizdat, 1988: 319 p. [In Russian].
10. Maykut G.A. Untersteiner N. Some results from a timedependent thermodynamic model of sea ice // Journ. of Geophys. Research. 1971, 76 (6): 1550–15757.
11. Nazintsev Ju.V., Panov V.V. Fazovyj sostav i teplofizicheskie kharakteristiki morskogo l'da. Phase composition and thermal physical characteristics of sea ice. Sankt-Petersburg: Gidrometeoizdat, 2000: 83 p. [In Russian].
12. Bogorodskiy V.V., Gavrilo V.P. Led. Fizicheskie svoystva. Sovremennye metody glyatsiologii. Ice. Physical property. Modern methods of glaciology. Lеningrad: Gidrometeoizdat, 1980: 383 p.[In Russian].
13. Tsurikov V.L. Zhidkaya faza v morskikh l'dakh. The liquid phase in sea ice. Moscow: Nauka, 1976: 210 p. [In Russian].
14. Doronin Yu.P. Vzaimodeystvie okeana i atmosfery. The interaction of ocean and atmosphere. Lеningrad: Gidrometeoizdat, 1981: 288 p. [In Russian].
15. Frolov I.E .Numerical model of the autumn-winter ice phenomena. Trudy AANII. Proc of the AARI. 1981, 372: 73−81. [In Russian].
16. Doronin Yu.P., Heysin D.E. Morskoy led. Sea ice. Lеningrad: Gidrometeoizdat, 1975: 320 p. [In Russian].
17. Hibler U.D. The Growth and drift of sea ice. Dinamika mass snega i l'da. Dynamics of snow and ice. Lеningrad: Gidrometeoizdat, 1985: 153–217. [In Russian].
18. Heysin D.E . Dinamika morskikh l'dov. Dynamics of sea ice. Lеningrad: Gidrometeoizdat, 1987: 272 p. [In Russian].
19. Andreev O.M., Ivanov B.V. Parameterization of the vertical distribution of salinity on the annual sea ice for the tasks of modeling in the Arctic. Problemy Arktiki i Antarktiki. Problems of Arctic and Antarctic. 2007, 75: 99–105. [In Russian].
20. Klyachkin S.V., Guzenko R.B., May R.I. Numerical model of the evolution of the ice cover of the Arctic seas for operational forecasting. Led i Sneg.Ice and Snow. 2015, 55 (3): 83–96.
21. Samarskiy A.A. Teoriya raznostnykh skhem. Theory of difference schemes. Moscow: Nauka, 1977: 656 p. [In Russian].
22. Kuznetsov G.V., Sheremet M.A. Raznostnye metody resheniya zadach teploprovodnosti. Difference methods for solving heat conduction problems. Tomsk: Рublishing house of TPU, 2007: 172 p. [In Russian].
Supplementary files
For citation: Chetyrbotsky A.N., Lazaryuk A.U. Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan). Ice and Snow. 2018;58(4):559-568. https://doi.org/10.15356/2076-6734-2018-4-559-568
Refbacks
- There are currently no refbacks.
ISSN 2076-6734 (Print)
ISSN 2412-3765 (Online)