Describing macro-scale structure of the snow cover by a dynamic-stochastic model
Possibilities to investigate the spatial structure of snow cover by means of dynamic-stochastic model are discussed in this article. Basin of the Cheboksary reservoir (area of 376 500 sq.km) was used as an example. Results of numerical experiments show that our dynamic-stochastic model of the snow c...
| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Nauka
2015-11-01
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| Series: | Лëд и снег |
| Subjects: | |
| Online Access: | https://ice-snow.igras.ru/jour/article/view/255 |
| _version_ | 1826558320757964800 |
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| author | A. N. Gelfan V. M. Moreydo |
| author_facet | A. N. Gelfan V. M. Moreydo |
| author_sort | A. N. Gelfan |
| collection | DOAJ |
| description | Possibilities to investigate the spatial structure of snow cover by means of dynamic-stochastic model are discussed in this article. Basin of the Cheboksary reservoir (area of 376 500 sq.km) was used as an example. Results of numerical experiments show that our dynamic-stochastic model of the snow cover formation reproduces a snow field structure with adequate accuracy. The fractal dimensions of the modeled fields are in good correspondence with respective dimensions of fields obtained from data of the in situ observations. |
| first_indexed | 2024-04-10T02:28:52Z |
| format | Article |
| id | doaj.art-1903de900bfe4dc78112adf04999d2b3 |
| institution | Directory Open Access Journal |
| issn | 2076-6734 2412-3765 |
| language | Russian |
| last_indexed | 2025-03-14T08:42:37Z |
| publishDate | 2015-11-01 |
| publisher | Nauka |
| record_format | Article |
| series | Лëд и снег |
| spelling | doaj.art-1903de900bfe4dc78112adf04999d2b32025-03-02T12:52:25ZrusNaukaЛëд и снег2076-67342412-37652015-11-01554617210.15356/2076-6734-2015-4-61-72242Describing macro-scale structure of the snow cover by a dynamic-stochastic modelA. N. Gelfan0V. M. Moreydo1Institute of Water Problems, Russian Academy of Sciences, MoscowInstitute of Water Problems, Russian Academy of Sciences, MoscowPossibilities to investigate the spatial structure of snow cover by means of dynamic-stochastic model are discussed in this article. Basin of the Cheboksary reservoir (area of 376 500 sq.km) was used as an example. Results of numerical experiments show that our dynamic-stochastic model of the snow cover formation reproduces a snow field structure with adequate accuracy. The fractal dimensions of the modeled fields are in good correspondence with respective dimensions of fields obtained from data of the in situ observations.https://ice-snow.igras.ru/jour/article/view/255dynamic-stochastic modelingsnow coverspatial correlation |
| spellingShingle | A. N. Gelfan V. M. Moreydo Describing macro-scale structure of the snow cover by a dynamic-stochastic model Лëд и снег dynamic-stochastic modeling snow cover spatial correlation |
| title | Describing macro-scale structure of the snow cover by a dynamic-stochastic model |
| title_full | Describing macro-scale structure of the snow cover by a dynamic-stochastic model |
| title_fullStr | Describing macro-scale structure of the snow cover by a dynamic-stochastic model |
| title_full_unstemmed | Describing macro-scale structure of the snow cover by a dynamic-stochastic model |
| title_short | Describing macro-scale structure of the snow cover by a dynamic-stochastic model |
| title_sort | describing macro scale structure of the snow cover by a dynamic stochastic model |
| topic | dynamic-stochastic modeling snow cover spatial correlation |
| url | https://ice-snow.igras.ru/jour/article/view/255 |
| work_keys_str_mv | AT angelfan describingmacroscalestructureofthesnowcoverbyadynamicstochasticmodel AT vmmoreydo describingmacroscalestructureofthesnowcoverbyadynamicstochasticmodel |