The role of interdecadal climate oscillations in driving Arctic atmospheric river trends

Weiming Ma (), Hailong Wang (), Gang Chen, L. Ruby Leung, Jian Lu, Philip J. Rasch, Qiang Fu, Ben Kravitz, Yufei Zou, John J. Cassano and Wieslaw Maslowski
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Weiming Ma: Pacific Northwest National Laboratory
Hailong Wang: Pacific Northwest National Laboratory
Gang Chen: University of California Los Angeles
L. Ruby Leung: Pacific Northwest National Laboratory
Jian Lu: Pacific Northwest National Laboratory
Philip J. Rasch: University of Washington
Qiang Fu: University of Washington
Ben Kravitz: Pacific Northwest National Laboratory
Yufei Zou: Pacific Northwest National Laboratory
John J. Cassano: University of Colorado
Wieslaw Maslowski: Naval Postgraduate School

Nature Communications, 2024, vol. 15, issue 1, 1-11

Abstract: Abstract Atmospheric rivers (ARs), intrusions of warm and moist air, can effectively drive weather extremes over the Arctic and trigger subsequent impact on sea ice and climate. What controls the observed multi-decadal Arctic AR trends remains unclear. Here, using multiple sources of observations and model experiments, we find that, contrary to the uniform positive trend in climate simulations, the observed Arctic AR frequency increases by twice as much over the Atlantic sector compared to the Pacific sector in 1981-2021. This discrepancy can be reconciled by the observed positive-to-negative phase shift of Interdecadal Pacific Oscillation (IPO) and the negative-to-positive phase shift of Atlantic Multidecadal Oscillation (AMO), which increase and reduce Arctic ARs over the Atlantic and Pacific sectors, respectively. Removing the influence of the IPO and AMO can reduce the projection uncertainties in near-future Arctic AR trends by about 24%, which is important for constraining projection of Arctic warming and the timing of an ice-free Arctic.

Date: 2024
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DOI: 10.1038/s41467-024-45159-5

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