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Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather

The Arctic has warmed more than twice as fast as the global average since the late twentieth century, a phenomenon known as Arctic amplification (AA). Recently, there have been considerable advances in understanding the physical contributions to AA, and progress has been made in understanding the mechanisms that link it to midlatitude weather variability. Observational studies overwhelmingly support that AA is contributing to winter continental cooling. Although some model experiments support the observational evidence, most modelling results show little connection between AA and severe midlatitude weather or suggest the export of excess heating from the Arctic to lower latitudes. Divergent conclusions between model and observational studies, and even intramodel studies, continue to obfuscate a clear understanding of how AA is influencing midlatitude weather.
- Columbia University United States
- Gwangju Institute of Science and Technology Korea (Republic of)
- University College London United Kingdom
- Alfred Wegener Institute for Polar and Marine Research Germany
- Free University of Amsterdam Pure VU Amsterdam Netherlands
Cryospheric science, 550, Environmental Science (miscellaneous), SDG 13 - Climate Action, Atmospheric science, Climate change, Social Sciences (miscellaneous)
Cryospheric science, 550, Environmental Science (miscellaneous), SDG 13 - Climate Action, Atmospheric science, Climate change, Social Sciences (miscellaneous)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).538 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
