Spatial variability of the snow depth on mountain slope in Svalbard
The study was carried out to estimate the spatial variability of snow cover depths in avalanche centers of the mountain slopes of Svalbard. Accounting for the variability is necessary for monitoring the snow cover depths in the avalanche centers and evaluating the snow cover stability on the slope....
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Language: | Russian |
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IGRAS
2018
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Online Access: | https://ice-snow.igras.ru/jour/article/view/486 https://doi.org/10.15356/2076-6734-2018-3-353-358 |
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ftjias:oai:oai.ice.elpub.ru:article/486 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Ice and Snow (E-Journal) |
op_collection_id |
ftjias |
language |
Russian |
topic |
avalanches monitoring snow depth variability snow stability evaluation |
spellingShingle |
avalanches monitoring snow depth variability snow stability evaluation P. Chernous A. N. Osokin I. R. Chernov A. П. Черноус А. Н. Осокин И. Р. Чернов А. Spatial variability of the snow depth on mountain slope in Svalbard |
topic_facet |
avalanches monitoring snow depth variability snow stability evaluation |
description |
The study was carried out to estimate the spatial variability of snow cover depths in avalanche centers of the mountain slopes of Svalbard. Accounting for the variability is necessary for monitoring the snow cover depths in the avalanche centers and evaluating the snow cover stability on the slope. The main tasks of the work were to evaluate the variability parameters and compare them with similar estimates obtained in other regions. In contrast to conventional snow surveys, thickness measurements were carried out more frequently (with resolution of every 1 m) in profiles (eight profiles in total), not exceeding the characteristic linear size of the avalanche origin zone (up to 100 m2). Spatial variations of snow cover thickness in each profile are considered as the realization of a random process. Data of the spring measurements of 2015 were used to estimate the mathematical expectations, variances, and autocorrelation functions of the snow cover depth on the Mount Olav slopes. Comparison of parameters of variability with those obtained in different mountain regions of Russia with the similar underlying surface, shows that the variability on Svalbard are the most similar to the variability in the Khibiny Mountains. Although the scattering and coefficients of variation obtained in the Khibiny Mountains are slightly larger, the spatial coherence of the snow cover depths is the lowest on Svalbard. Estimates of the correlation radii are within the range of 2–6 m. With such variability any deterministic estimation of spatial snow accumulation with the help of remote measurement stakes is impossible. The obtained parameters of the spatial statistical structure of the snow cover thickness allow using statistical modeling for the interpretation of point measurements. In that case, uncertainty of snow cover thickness data in places where measurements were not made will be reflected in their probabilistic estimation. Пространственные изменения толщины снежного покрова на горных склонах Шпицбергена рассматриваются как ... |
format |
Article in Journal/Newspaper |
author |
P. Chernous A. N. Osokin I. R. Chernov A. П. Черноус А. Н. Осокин И. Р. Чернов А. |
author_facet |
P. Chernous A. N. Osokin I. R. Chernov A. П. Черноус А. Н. Осокин И. Р. Чернов А. |
author_sort |
P. Chernous A. |
title |
Spatial variability of the snow depth on mountain slope in Svalbard |
title_short |
Spatial variability of the snow depth on mountain slope in Svalbard |
title_full |
Spatial variability of the snow depth on mountain slope in Svalbard |
title_fullStr |
Spatial variability of the snow depth on mountain slope in Svalbard |
title_full_unstemmed |
Spatial variability of the snow depth on mountain slope in Svalbard |
title_sort |
spatial variability of the snow depth on mountain slope in svalbard |
publisher |
IGRAS |
publishDate |
2018 |
url |
https://ice-snow.igras.ru/jour/article/view/486 https://doi.org/10.15356/2076-6734-2018-3-353-358 |
long_lat |
ENVELOPE(33.210,33.210,67.679,67.679) |
geographic |
Svalbard Khibiny |
geographic_facet |
Svalbard Khibiny |
genre |
Annals of Glaciology Svalbard |
genre_facet |
Annals of Glaciology Svalbard |
op_source |
Ice and Snow; Том 58, № 3 (2018); 353-358 Лёд и Снег; Том 58, № 3 (2018); 353-358 2412-3765 2076-6734 10.15356/2076-6734-2018-3 |
op_relation |
https://ice-snow.igras.ru/jour/article/view/486/278 Osokin N.I., Samoylov R.S., Sosnovskiy A.V., Sokratov S.A., Zhidkov V.A. Model of the influence of snow cover on soil freezing // Annals of Glaciology. 2000. V. 31. P. 417–421. Chernouss P.A., Fedorenko Y. Probabilistic evaluation of snow stability on mountain slopes // Annals Glaciology. 1998. V. 26. P. 303–306. Канаев Л.А. Об изменчивости свойств снега // Тр. САРНИГМИ. 1969. Вып. 44 (59). С. 25–42. Черноус П.А., Селиверстов Ю.Г., Сучков В.Е. Влияние характеристик снега на лавинообразование // Лёд и Снег. 2015. № 2 (130). С. 53–59. Черноус П.А., Христоев Ю.В. Оценка точности данных о толщине снега в лавиносборах // МГИ. 1988. № 55. С. 201–206. Чиркова А.А. Статистический анализ распределения глубины снежного покрова на малых площадях в горах // Тр. САРНИГМИ. 1977. Вып. 37 (118). С. 43–50. https://ice-snow.igras.ru/jour/article/view/486 doi:10.15356/2076-6734-2018-3-353-358 |
op_rights |
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). Авторы, публикующие статьи в данном журнале, соглашаются на следующее:Авторы сохраняют за собой авторские права и предоставляют журналу право первой публикации работы, которая по истечении 6 месяцев после публикации автоматически лицензируется на условиях Creative Commons Attribution License , что позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Редакция журнала будет размещать принятую для публикации статью на сайте журнала до выхода её в свет (после утверждения к печати редколлегией журнала). Авторы также имеют право размещать их работу в сети Интернет (например в институтском хранилище или персональном сайте) до и во время процесса рассмотрения ее данным журналом, так как это может привести к продуктивному обсуждению и большему количеству ссылок на данную работу (См. The Effect of Open Access). |
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op_doi |
https://doi.org/10.15356/2076-6734-2018-3-353-358 https://doi.org/10.15356/2076-6734-2018-3 |
container_title |
Ice and Snow |
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ftjias:oai:oai.ice.elpub.ru:article/486 2023-05-15T13:29:49+02:00 Spatial variability of the snow depth on mountain slope in Svalbard Пространственная изменчивость толщины снежного покрова на горном склоне (архипелаг Шпицберген) P. Chernous A. N. Osokin I. R. Chernov A. П. Черноус А. Н. Осокин И. Р. Чернов А. 2018-09-26 application/pdf https://ice-snow.igras.ru/jour/article/view/486 https://doi.org/10.15356/2076-6734-2018-3-353-358 rus rus IGRAS https://ice-snow.igras.ru/jour/article/view/486/278 Osokin N.I., Samoylov R.S., Sosnovskiy A.V., Sokratov S.A., Zhidkov V.A. Model of the influence of snow cover on soil freezing // Annals of Glaciology. 2000. V. 31. P. 417–421. Chernouss P.A., Fedorenko Y. Probabilistic evaluation of snow stability on mountain slopes // Annals Glaciology. 1998. V. 26. P. 303–306. Канаев Л.А. Об изменчивости свойств снега // Тр. САРНИГМИ. 1969. Вып. 44 (59). С. 25–42. Черноус П.А., Селиверстов Ю.Г., Сучков В.Е. Влияние характеристик снега на лавинообразование // Лёд и Снег. 2015. № 2 (130). С. 53–59. Черноус П.А., Христоев Ю.В. Оценка точности данных о толщине снега в лавиносборах // МГИ. 1988. № 55. С. 201–206. Чиркова А.А. Статистический анализ распределения глубины снежного покрова на малых площадях в горах // Тр. САРНИГМИ. 1977. Вып. 37 (118). С. 43–50. https://ice-snow.igras.ru/jour/article/view/486 doi:10.15356/2076-6734-2018-3-353-358 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). Авторы, публикующие статьи в данном журнале, соглашаются на следующее:Авторы сохраняют за собой авторские права и предоставляют журналу право первой публикации работы, которая по истечении 6 месяцев после публикации автоматически лицензируется на условиях Creative Commons Attribution License , что позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Редакция журнала будет размещать принятую для публикации статью на сайте журнала до выхода её в свет (после утверждения к печати редколлегией журнала). Авторы также имеют право размещать их работу в сети Интернет (например в институтском хранилище или персональном сайте) до и во время процесса рассмотрения ее данным журналом, так как это может привести к продуктивному обсуждению и большему количеству ссылок на данную работу (См. The Effect of Open Access). CC-BY Ice and Snow; Том 58, № 3 (2018); 353-358 Лёд и Снег; Том 58, № 3 (2018); 353-358 2412-3765 2076-6734 10.15356/2076-6734-2018-3 avalanches monitoring snow depth variability snow stability evaluation info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2018 ftjias https://doi.org/10.15356/2076-6734-2018-3-353-358 https://doi.org/10.15356/2076-6734-2018-3 2022-12-20T13:30:01Z The study was carried out to estimate the spatial variability of snow cover depths in avalanche centers of the mountain slopes of Svalbard. Accounting for the variability is necessary for monitoring the snow cover depths in the avalanche centers and evaluating the snow cover stability on the slope. The main tasks of the work were to evaluate the variability parameters and compare them with similar estimates obtained in other regions. In contrast to conventional snow surveys, thickness measurements were carried out more frequently (with resolution of every 1 m) in profiles (eight profiles in total), not exceeding the characteristic linear size of the avalanche origin zone (up to 100 m2). Spatial variations of snow cover thickness in each profile are considered as the realization of a random process. Data of the spring measurements of 2015 were used to estimate the mathematical expectations, variances, and autocorrelation functions of the snow cover depth on the Mount Olav slopes. Comparison of parameters of variability with those obtained in different mountain regions of Russia with the similar underlying surface, shows that the variability on Svalbard are the most similar to the variability in the Khibiny Mountains. Although the scattering and coefficients of variation obtained in the Khibiny Mountains are slightly larger, the spatial coherence of the snow cover depths is the lowest on Svalbard. Estimates of the correlation radii are within the range of 2–6 m. With such variability any deterministic estimation of spatial snow accumulation with the help of remote measurement stakes is impossible. The obtained parameters of the spatial statistical structure of the snow cover thickness allow using statistical modeling for the interpretation of point measurements. In that case, uncertainty of snow cover thickness data in places where measurements were not made will be reflected in their probabilistic estimation. Пространственные изменения толщины снежного покрова на горных склонах Шпицбергена рассматриваются как ... Article in Journal/Newspaper Annals of Glaciology Svalbard Ice and Snow (E-Journal) Svalbard Khibiny ENVELOPE(33.210,33.210,67.679,67.679) Ice and Snow 58 3 353 358 |