Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ...
The North Atlantic Oscillation (NAO) index, a measure of sea-level atmospheric pressure variability, holds significant influence over weather patterns in North America and Northern Europe. A negative (positive) NAO value signifies increased cold air outbreaks and storm occurrences (reduced occurrenc...
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| Online Access: | https://dx.doi.org/10.48550/arxiv.2001.10171 https://arxiv.org/abs/2001.10171 |
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ftdatacite:10.48550/arxiv.2001.10171 2023-11-05T03:39:40+01:00 Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... Yadav, Alka Das, Sourish Chakraborti, Anirban 2020 https://dx.doi.org/10.48550/arxiv.2001.10171 https://arxiv.org/abs/2001.10171 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Applications stat.AP FOS Computer and information sciences Article article CreativeWork Preprint 2020 ftdatacite https://doi.org/10.48550/arxiv.2001.10171 2023-10-09T11:08:33Z The North Atlantic Oscillation (NAO) index, a measure of sea-level atmospheric pressure variability, holds significant influence over weather patterns in North America and Northern Europe. A negative (positive) NAO value signifies increased cold air outbreaks and storm occurrences (reduced occurrences) in these regions. NAO, a product of multiple climate factors, demonstrates intricate dynamics with sea surface temperature (SST) and sea ice extent (SIE). In this study, we adopt a data-driven approach to explore the complex interplay between NAO, SST, and SIE, revealing a critical instability rooted in positive feedback loops among these climate variables. Our statistical machine learning methodology examines the impacts of melting Arctic SIE and rising SST on NAO, thereby understanding the weather patterns across the North Atlantic region. The skewness analysis yields a negative skewness in NAO across various time intervals--daily, weekly, and monthly. This skewness, coupled with NAO's mean zero stationary ... : 18 pages, 8 figures ... Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
| language |
unknown |
| topic |
Applications stat.AP FOS Computer and information sciences |
| spellingShingle |
Applications stat.AP FOS Computer and information sciences Yadav, Alka Das, Sourish Chakraborti, Anirban Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... |
| topic_facet |
Applications stat.AP FOS Computer and information sciences |
| description |
The North Atlantic Oscillation (NAO) index, a measure of sea-level atmospheric pressure variability, holds significant influence over weather patterns in North America and Northern Europe. A negative (positive) NAO value signifies increased cold air outbreaks and storm occurrences (reduced occurrences) in these regions. NAO, a product of multiple climate factors, demonstrates intricate dynamics with sea surface temperature (SST) and sea ice extent (SIE). In this study, we adopt a data-driven approach to explore the complex interplay between NAO, SST, and SIE, revealing a critical instability rooted in positive feedback loops among these climate variables. Our statistical machine learning methodology examines the impacts of melting Arctic SIE and rising SST on NAO, thereby understanding the weather patterns across the North Atlantic region. The skewness analysis yields a negative skewness in NAO across various time intervals--daily, weekly, and monthly. This skewness, coupled with NAO's mean zero stationary ... : 18 pages, 8 figures ... |
| format |
Article in Journal/Newspaper |
| author |
Yadav, Alka Das, Sourish Chakraborti, Anirban |
| author_facet |
Yadav, Alka Das, Sourish Chakraborti, Anirban |
| author_sort |
Yadav, Alka |
| title |
Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... |
| title_short |
Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... |
| title_full |
Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... |
| title_fullStr |
Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... |
| title_full_unstemmed |
Understanding North Atlantic Climate Instabilities and Complex Interactions using Data Science ... |
| title_sort |
understanding north atlantic climate instabilities and complex interactions using data science ... |
| publisher |
arXiv |
| publishDate |
2020 |
| url |
https://dx.doi.org/10.48550/arxiv.2001.10171 https://arxiv.org/abs/2001.10171 |
| genre |
Arctic North Atlantic North Atlantic oscillation Sea ice |
| genre_facet |
Arctic North Atlantic North Atlantic oscillation Sea ice |
| op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
| op_doi |
https://doi.org/10.48550/arxiv.2001.10171 |
| _version_ |
1781695549336977408 |