Climate impacts and Arctic precursors of changing storm track activity in the Atlantic-Eurasian region
Midlatitude storm tracks are preferred regions of intense activity of synoptic eddies shaping the day-to-day weather and several aspects of surface climate. Here statistical analyses of observationally-based atmospheric data and observed Arctic sea ice concentration (SIC) in the period 1979–2017 are...
| Published in: | Scientific Reports |
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| Main Author: | |
| Format: | Text |
| Language: | English |
| Published: |
Nature Publishing Group UK
2018
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| Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290774/ http://www.ncbi.nlm.nih.gov/pubmed/30542140 https://doi.org/10.1038/s41598-018-35900-8 |
| Summary: | Midlatitude storm tracks are preferred regions of intense activity of synoptic eddies shaping the day-to-day weather and several aspects of surface climate. Here statistical analyses of observationally-based atmospheric data and observed Arctic sea ice concentration (SIC) in the period 1979–2017 are used to identify linkages of a dominant mode of interannual variability in wintertime upper-tropospheric storm track activity over Eurasia (STAEA mode) to the concurrent surface climate anomalies and pre-winter Arctic SIC variations. This mode explains an exceptionally large fraction (about 70% of the variance) of the North Atlantic Oscillation (NAO) and of a dominant mode of Eurasian surface air temperature variations. As more than 50% of the variance of the STAEA mode and NAO is found to be accounted for by October SIC anomalies in the Barents/Kara Sea, it is concluded that wintertime Eurasian climate variability is to some extent predictable and that this predictability might have increased after an acceleration of the sea ice cover decline in the mid 2000s. These conclusions are supported by results from leave-1-yr-out cross-validated forecast experiments. |
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