Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan)
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 temperatu...
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ftdoajarticles:oai:doaj.org/article:348c2fb1b7554b88a3d7b734c806a6b2 2023-05-15T18:18:07+02:00 Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) A. N. Chetyrbotsky A. U. Lazaryuk 2018-12-01T00:00:00Z https://doi.org/10.15356/2076-6734-2018-4-559-568 https://doaj.org/article/348c2fb1b7554b88a3d7b734c806a6b2 RU rus Nauka https://ice-snow.igras.ru/jour/article/view/518 https://doaj.org/toc/2076-6734 https://doaj.org/toc/2412-3765 2076-6734 2412-3765 doi:10.15356/2076-6734-2018-4-559-568 https://doaj.org/article/348c2fb1b7554b88a3d7b734c806a6b2 Лëд и снег, Vol 58, Iss 4, Pp 559-568 (2018) модель распределения солёности модель распределения температуры морской ледяной покров оценка адекватности моделей Science Q article 2018 ftdoajarticles https://doi.org/10.15356/2076-6734-2018-4-559-568 2023-03-19T01:40:11Z 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. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Ice and Snow 58 4 559 568 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
Russian |
topic |
модель распределения солёности модель распределения температуры морской ледяной покров оценка адекватности моделей Science Q |
spellingShingle |
модель распределения солёности модель распределения температуры морской ледяной покров оценка адекватности моделей Science Q A. N. Chetyrbotsky A. U. Lazaryuk Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) |
topic_facet |
модель распределения солёности модель распределения температуры морской ледяной покров оценка адекватности моделей Science Q |
description |
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. |
format |
Article in Journal/Newspaper |
author |
A. N. Chetyrbotsky A. U. Lazaryuk |
author_facet |
A. N. Chetyrbotsky A. U. Lazaryuk |
author_sort |
A. N. Chetyrbotsky |
title |
Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) |
title_short |
Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) |
title_full |
Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) |
title_fullStr |
Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) |
title_full_unstemmed |
Temperature and salinity distribution of sea ice cover according to experimental and model data (case study of Novik Bay of the Sea of Japan) |
title_sort |
temperature and salinity distribution of sea ice cover according to experimental and model data (case study of novik bay of the sea of japan) |
publisher |
Nauka |
publishDate |
2018 |
url |
https://doi.org/10.15356/2076-6734-2018-4-559-568 https://doaj.org/article/348c2fb1b7554b88a3d7b734c806a6b2 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Лëд и снег, Vol 58, Iss 4, Pp 559-568 (2018) |
op_relation |
https://ice-snow.igras.ru/jour/article/view/518 https://doaj.org/toc/2076-6734 https://doaj.org/toc/2412-3765 2076-6734 2412-3765 doi:10.15356/2076-6734-2018-4-559-568 https://doaj.org/article/348c2fb1b7554b88a3d7b734c806a6b2 |
op_doi |
https://doi.org/10.15356/2076-6734-2018-4-559-568 |
container_title |
Ice and Snow |
container_volume |
58 |
container_issue |
4 |
container_start_page |
559 |
op_container_end_page |
568 |
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1766194544426090496 |