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Abstract
Atmospheric rivers (ARs) reaching high-latitudes in summer contribute to the majority of climatological poleward water vapor transport into the Arctic. This transport has exhibited long term changes over the past decades, which cannot be entirely explained by anthropogenic forcing according to ensemble model responses. Here, through observational analyses and model experiments in which winds are adjusted to match observations, we demonstrate that low-frequency, large-scale circulation changes in the Arctic play a decisive role in regulating AR activity and thus inducing the recent upsurge of this activity in the region. It is estimated that the trend in summertime AR activity may contribute to 36% of the increasing trend of atmospheric summer moisture over the entire Arctic since 1979 and account for over half of the humidity trends in certain areas experiencing significant recent warming, such as western Greenland, northern Europe, and eastern Siberia. This indicates that AR activity, mostly driven by strong synoptic weather systems often regarded as stochastic, may serve as a vital mechanism in regulating long term moisture variability in the Arctic.
More atmospheric rivers bringing moisture into the Arctic have been observed in summers of recent decades and have been linked to global warming and Arctic Amplification. In contrast, this study finds that natural forcing relative to large-scale circulation changes is behind this shift.
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1 Chinese Academy of Sciences, Center for Monsoon System Research, Institute of Atmospheric Physics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
2 University of California, Santa Barbara, Department of Geography and Earth Research Institute, Santa Barbara, USA (GRID:grid.133342.4) (ISNI:0000 0004 1936 9676)
3 Zhejiang University, School of Earth Sciences, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X)
4 University of Alaska Fairbanks, International Arctic Research Center, Fairbanks, USA (GRID:grid.70738.3b) (ISNI:0000 0004 1936 981X)
5 University of California, Los Angeles, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)
6 University of Valparaíso, Department of Meteorology, Valparaíso, Chile (GRID:grid.412185.b) (ISNI:0000 0000 8912 4050); Center for Climate and Resilience Research (CR)2, Santiago, Chile (GRID:grid.510910.c) (ISNI:0000 0004 4669 4781); University of Concepción, Center for Oceanographic Research COPAS COASTAL, Concepción, Chile (GRID:grid.5380.e) (ISNI:0000 0001 2298 9663)
7 University of California San Diego, Center for Western Weather and Water Extremes, Scripps Institution of Oceanograph, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242)
8 Université catholique de Louvain, Earth and Climate Research, Earth and Life Institute, Louvain-la-Neuve, Belgium (GRID:grid.7942.8) (ISNI:0000 0001 2294 713X); MTA-Centre for Excellence, Institute for Geological and Geochemical Research, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary (GRID:grid.5018.c) (ISNI:0000 0001 2149 4407)
9 Chinese Academy of Sciences, State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
10 Yunnan University, Department of Atmospheric Sciences, Kunming, China (GRID:grid.440773.3) (ISNI:0000 0000 9342 2456)
11 Chengdu University of Information Technology, School of Atmospheric Sciences, Chengdu, China (GRID:grid.411307.0) (ISNI:0000 0004 1790 5236)