Temporal variance of the ice navigation conditions within the Northern Sea Route
Abstract Recognition of satellite images, composition of them and vectorization is used in AARI for ice charts production. There is discussed methodology and results of the ice charts processing by means of computer programs, which were elaborated by Dr. Tretyakov in Python. The paper demonstrates r...
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Online Access: | http://dx.doi.org/10.1088/1755-1315/937/4/042095 https://iopscience.iop.org/article/10.1088/1755-1315/937/4/042095 https://iopscience.iop.org/article/10.1088/1755-1315/937/4/042095/pdf |
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crioppubl:10.1088/1755-1315/937/4/042095 2024-06-02T08:04:24+00:00 Temporal variance of the ice navigation conditions within the Northern Sea Route Yu Tretyakov, V Egovtseva, A V Dmitriev, V V 2021 http://dx.doi.org/10.1088/1755-1315/937/4/042095 https://iopscience.iop.org/article/10.1088/1755-1315/937/4/042095 https://iopscience.iop.org/article/10.1088/1755-1315/937/4/042095/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 937, issue 4, page 042095 ISSN 1755-1307 1755-1315 journal-article 2021 crioppubl https://doi.org/10.1088/1755-1315/937/4/042095 2024-05-07T13:59:57Z Abstract Recognition of satellite images, composition of them and vectorization is used in AARI for ice charts production. There is discussed methodology and results of the ice charts processing by means of computer programs, which were elaborated by Dr. Tretyakov in Python. The paper demonstrates results of analysis of temporal variance of ice navigation circumstances within the buffer zone of the marine transport system from the Sabetta Port (the Yamal Peninsula, Russia) up to the Bering Strait. There are considered the variance for April and May from 1998 up to 2020. This intra-annual interval is the one with the heaviest ice circumstances for shipping. We used conditional length of various age and age and form gradations of the sea ice for the route as a whole, as an integral parameter for estimation of the navigation hardships of ice navigation. The conditional length of an ice age (thickness) diapason is result of multiplication of the diapason partial concentration at the length of the route leg with homogeneous ice characteristics. There were produced series of the conditional lengths for each ten-day periods during April and May. Then statistical homogeneity of the series was tested by various methods. Article in Journal/Newspaper Bering Strait Northern Sea Route Sea ice Yamal Peninsula IOP Publishing Bering Strait Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) Sabetta ENVELOPE(72.039,72.039,71.214,71.214) IOP Conference Series: Earth and Environmental Science 937 4 042095 |
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Abstract Recognition of satellite images, composition of them and vectorization is used in AARI for ice charts production. There is discussed methodology and results of the ice charts processing by means of computer programs, which were elaborated by Dr. Tretyakov in Python. The paper demonstrates results of analysis of temporal variance of ice navigation circumstances within the buffer zone of the marine transport system from the Sabetta Port (the Yamal Peninsula, Russia) up to the Bering Strait. There are considered the variance for April and May from 1998 up to 2020. This intra-annual interval is the one with the heaviest ice circumstances for shipping. We used conditional length of various age and age and form gradations of the sea ice for the route as a whole, as an integral parameter for estimation of the navigation hardships of ice navigation. The conditional length of an ice age (thickness) diapason is result of multiplication of the diapason partial concentration at the length of the route leg with homogeneous ice characteristics. There were produced series of the conditional lengths for each ten-day periods during April and May. Then statistical homogeneity of the series was tested by various methods. |
format |
Article in Journal/Newspaper |
author |
Yu Tretyakov, V Egovtseva, A V Dmitriev, V V |
spellingShingle |
Yu Tretyakov, V Egovtseva, A V Dmitriev, V V Temporal variance of the ice navigation conditions within the Northern Sea Route |
author_facet |
Yu Tretyakov, V Egovtseva, A V Dmitriev, V V |
author_sort |
Yu Tretyakov, V |
title |
Temporal variance of the ice navigation conditions within the Northern Sea Route |
title_short |
Temporal variance of the ice navigation conditions within the Northern Sea Route |
title_full |
Temporal variance of the ice navigation conditions within the Northern Sea Route |
title_fullStr |
Temporal variance of the ice navigation conditions within the Northern Sea Route |
title_full_unstemmed |
Temporal variance of the ice navigation conditions within the Northern Sea Route |
title_sort |
temporal variance of the ice navigation conditions within the northern sea route |
publisher |
IOP Publishing |
publishDate |
2021 |
url |
http://dx.doi.org/10.1088/1755-1315/937/4/042095 https://iopscience.iop.org/article/10.1088/1755-1315/937/4/042095 https://iopscience.iop.org/article/10.1088/1755-1315/937/4/042095/pdf |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) ENVELOPE(72.039,72.039,71.214,71.214) |
geographic |
Bering Strait Yamal Peninsula Sabetta |
geographic_facet |
Bering Strait Yamal Peninsula Sabetta |
genre |
Bering Strait Northern Sea Route Sea ice Yamal Peninsula |
genre_facet |
Bering Strait Northern Sea Route Sea ice Yamal Peninsula |
op_source |
IOP Conference Series: Earth and Environmental Science volume 937, issue 4, page 042095 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/937/4/042095 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
937 |
container_issue |
4 |
container_start_page |
042095 |
_version_ |
1800749031211663360 |