Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns
Significant salinity anomalies have been observed in the Arctic Ocean surface layer during the last decade. Using gridded data of winter salinity in the upper 50 m layer of the Arctic Ocean for the period 1950-1993 and 2007-2012, we investigated the inter-annual variability of the salinity fields, a...
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2014
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| Online Access: | https://dx.doi.org/10.48550/arxiv.1409.2062 https://arxiv.org/abs/1409.2062 |
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ftdatacite:10.48550/arxiv.1409.2062 2023-05-15T14:49:41+02:00 Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns Chernyavskaya, Ekaterina A. Sudakov, Ivan Golden, Kenneth M. Timokhov, Leonid A. 2014 https://dx.doi.org/10.48550/arxiv.1409.2062 https://arxiv.org/abs/1409.2062 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences Preprint Article article CreativeWork 2014 ftdatacite https://doi.org/10.48550/arxiv.1409.2062 2022-04-01T12:46:49Z Significant salinity anomalies have been observed in the Arctic Ocean surface layer during the last decade. Using gridded data of winter salinity in the upper 50 m layer of the Arctic Ocean for the period 1950-1993 and 2007-2012, we investigated the inter-annual variability of the salinity fields, attempted to identify patterns and anomalies, and developed a statistical model for the prediction of surface layer salinity. The statistical model is based on linear regression equations linking the principal components with environmental factors, such as atmospheric circulation, river runoff, ice processes, and water exchange with neighboring oceans. Using this model, we obtained prognostic fields of the surface layer salinity for the winter period 2013-2014. The prognostic fields demonstrated the same tendencies of surface layer freshening that were observed previously. A phase portrait analysis involving the first two principal components exhibits a dramatic shift in behavior of the 2007-2012 data in comparison to earlier observations. Report Arctic Arctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| topic |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
| spellingShingle |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences Chernyavskaya, Ekaterina A. Sudakov, Ivan Golden, Kenneth M. Timokhov, Leonid A. Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns |
| topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
| description |
Significant salinity anomalies have been observed in the Arctic Ocean surface layer during the last decade. Using gridded data of winter salinity in the upper 50 m layer of the Arctic Ocean for the period 1950-1993 and 2007-2012, we investigated the inter-annual variability of the salinity fields, attempted to identify patterns and anomalies, and developed a statistical model for the prediction of surface layer salinity. The statistical model is based on linear regression equations linking the principal components with environmental factors, such as atmospheric circulation, river runoff, ice processes, and water exchange with neighboring oceans. Using this model, we obtained prognostic fields of the surface layer salinity for the winter period 2013-2014. The prognostic fields demonstrated the same tendencies of surface layer freshening that were observed previously. A phase portrait analysis involving the first two principal components exhibits a dramatic shift in behavior of the 2007-2012 data in comparison to earlier observations. |
| format |
Report |
| author |
Chernyavskaya, Ekaterina A. Sudakov, Ivan Golden, Kenneth M. Timokhov, Leonid A. |
| author_facet |
Chernyavskaya, Ekaterina A. Sudakov, Ivan Golden, Kenneth M. Timokhov, Leonid A. |
| author_sort |
Chernyavskaya, Ekaterina A. |
| title |
Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns |
| title_short |
Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns |
| title_full |
Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns |
| title_fullStr |
Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns |
| title_full_unstemmed |
Surface salinity fields in the Arctic Ocean and statistical approaches to predicting anomalies and patterns |
| title_sort |
surface salinity fields in the arctic ocean and statistical approaches to predicting anomalies and patterns |
| publisher |
arXiv |
| publishDate |
2014 |
| url |
https://dx.doi.org/10.48550/arxiv.1409.2062 https://arxiv.org/abs/1409.2062 |
| geographic |
Arctic Arctic Ocean |
| geographic_facet |
Arctic Arctic Ocean |
| genre |
Arctic Arctic Ocean |
| genre_facet |
Arctic Arctic Ocean |
| op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
| op_doi |
https://doi.org/10.48550/arxiv.1409.2062 |
| _version_ |
1766320770831613952 |