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Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather

TLDR
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), and progress has been made in understanding the mechanisms that link it to midlatitude weather variability as discussed by the authors.
Abstract
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.

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Citations
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More Evidence Linking Arctic Amplification to Extreme Weather in Mid-Latitudes

TL;DR: In this article, the authors analyzed daily fields of 500-hPa heights from the National Centers for Environmental Prediction Reanalysis over N. America and the N. Atlantic to assess changes in north-south (Rossby) wave characteristics associated with Arctic amplification and the relaxation of poleward thickness gradients.
Journal ArticleDOI

The Arctic has warmed nearly four times faster than the globe since 1979

TL;DR: This paper showed that during the last 43 years the Arctic has been warming nearly four times faster than the globe, which is a higher ratio than generally reported in literature, and compared the observed Arctic amplification ratio with the ratio simulated by state-of-the-art climate models, and found that the observed fourfold warming ratio over 1979-2021 is an extremely rare occasion in the climate model simulations.

Tropical forcing of the recent rapid Arctic warming in northeastern Canada and Greenland

TL;DR: In this article, the authors find that the most prominent annual mean surface and tropospheric warming in the Arctic since 1979 has occurred in northeastern Canada and Greenland, and that the recent warming in this region is strongly associated with a negative trend in the North Atlantic Oscillation, which is a response to anomalous Rossby wavetrain activity originating in the tropical Pacific.

Warm Arctic episodes linked with increased frequency of extreme winter weather in the United States

TL;DR: An observational analysis is presented that links Arctic warming to severe winter weather, showing that extreme weather is 2–4 times more likely in the eastern US when the Arctic is warm.

Arctic Amplification Is Caused by Sea-Ice Loss under Increasing CO 2

TL;DR: In this paper, the authors show that sea-ice loss is necessary for the existence of large Arctic amplification and that models need to simulate Arctic sea ice realistically in order to correctly simulate Arctic warming under increasing CO2.
References
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Journal ArticleDOI

The NCEP/NCAR 40-Year Reanalysis Project

TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.
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Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century

TL;DR: HadISST1 as mentioned in this paper replaces the global sea ice and sea surface temperature (GISST) data sets and is a unique combination of monthly globally complete fields of SST and sea ice concentration on a 1° latitude-longitude grid from 1871.
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Global surface temperature change

TL;DR: The authors used satellite-observed night lights to identify measurement stations located in extreme darkness and adjust temperature trends of urban and periurban stations for nonclimatic factors, verifying that urban effects on analyzed global change are small.
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