Influence of new snow on growth and melting of sea ice
Numerical experiments were carried out using the thermodynamic model with the aim to optimize choice of parameterization of the density of fresh snow, its albedo, and thermal conductivity coefficient in order to reproduce the seasonal evolution of ice thickness in the North-Eastern part of the Sea o...
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| Format: | Article |
| Language: | Russian |
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Nauka
2019-03-01
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| Series: | Лëд и снег |
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| Online Access: | https://ice-snow.igras.ru/jour/article/view/545 |
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| author | D. D. Zavyalov T. A. Solomakha |
| author_facet | D. D. Zavyalov T. A. Solomakha |
| author_sort | D. D. Zavyalov |
| collection | DOAJ |
| description | Numerical experiments were carried out using the thermodynamic model with the aim to optimize choice of parameterization of the density of fresh snow, its albedo, and thermal conductivity coefficient in order to reproduce the seasonal evolution of ice thickness in the North-Eastern part of the Sea of Azov. The simulation results were compared with each other as well as with the observations obtained at the costal station of the Southern Scientific Center of the Russian Academy of Sciences in the Taganrog Bay. It is shown that small differences in the schemes of parameterization of physical and thermal properties of snow and ice cover may result in significant scatter in the simulation results. To assess the quality of the forecasting of the seasonal course of the ice thickness, the standard deviation of the calculated ice thickness from the average value for the period of measuring ice thickness, the standard deviation, the correlation coefficient, and the verification of the forecast were determined. Based on the analysis of these parameters, the optimal configuration of the snow layer parameters is proposed, which allows adequate reproducing of the seasonal thermal dynamics of the sea ice thickness. For the conditions of winter 2010/2011 the most close values of calculated ice thickness to results of the measurements in the North-Eastern part of the Taganrog Bay were obtained by determining the dependence of the density of fresh snow on the temperature in the near-surface layer of the atmosphere by the algorithm CLASS, albedo of the snow surface - by the scheme EHAM5, and the coefficient of thermal conductivity of snow – by the formulas of N.I. Osokin or M. Janson. |
| format | Article |
| id | doaj-art-c04086caf8c54e87be9dfd98b34e8566 |
| institution | Kabale University |
| issn | 2076-6734 2412-3765 |
| language | Russian |
| publishDate | 2019-03-01 |
| publisher | Nauka |
| record_format | Article |
| series | Лëд и снег |
| spelling | doaj-art-c04086caf8c54e87be9dfd98b34e85662025-08-20T03:59:48ZrusNaukaЛëд и снег2076-67342412-37652019-03-0159110311110.15356/2076-6734-2019-1-103-111407Influence of new snow on growth and melting of sea iceD. D. Zavyalov0T. A. Solomakha1Marine Hydrophysical Institute, Russian Academy of Sciences, SevastopolMarine Hydrophysical Institute, Russian Academy of Sciences, SevastopolNumerical experiments were carried out using the thermodynamic model with the aim to optimize choice of parameterization of the density of fresh snow, its albedo, and thermal conductivity coefficient in order to reproduce the seasonal evolution of ice thickness in the North-Eastern part of the Sea of Azov. The simulation results were compared with each other as well as with the observations obtained at the costal station of the Southern Scientific Center of the Russian Academy of Sciences in the Taganrog Bay. It is shown that small differences in the schemes of parameterization of physical and thermal properties of snow and ice cover may result in significant scatter in the simulation results. To assess the quality of the forecasting of the seasonal course of the ice thickness, the standard deviation of the calculated ice thickness from the average value for the period of measuring ice thickness, the standard deviation, the correlation coefficient, and the verification of the forecast were determined. Based on the analysis of these parameters, the optimal configuration of the snow layer parameters is proposed, which allows adequate reproducing of the seasonal thermal dynamics of the sea ice thickness. For the conditions of winter 2010/2011 the most close values of calculated ice thickness to results of the measurements in the North-Eastern part of the Taganrog Bay were obtained by determining the dependence of the density of fresh snow on the temperature in the near-surface layer of the atmosphere by the algorithm CLASS, albedo of the snow surface - by the scheme EHAM5, and the coefficient of thermal conductivity of snow – by the formulas of N.I. Osokin or M. Janson.https://ice-snow.igras.ru/jour/article/view/545azov seaice thicknesssea ice modelssnow parameterizationthermodynamics |
| spellingShingle | D. D. Zavyalov T. A. Solomakha Influence of new snow on growth and melting of sea ice Лëд и снег azov sea ice thickness sea ice models snow parameterization thermodynamics |
| title | Influence of new snow on growth and melting of sea ice |
| title_full | Influence of new snow on growth and melting of sea ice |
| title_fullStr | Influence of new snow on growth and melting of sea ice |
| title_full_unstemmed | Influence of new snow on growth and melting of sea ice |
| title_short | Influence of new snow on growth and melting of sea ice |
| title_sort | influence of new snow on growth and melting of sea ice |
| topic | azov sea ice thickness sea ice models snow parameterization thermodynamics |
| url | https://ice-snow.igras.ru/jour/article/view/545 |
| work_keys_str_mv | AT ddzavyalov influenceofnewsnowongrowthandmeltingofseaice AT tasolomakha influenceofnewsnowongrowthandmeltingofseaice |