Evidence map›Paper›PMID 38951529›Full record

ArticleNature communications2024

Role of atmospheric rivers in shaping long term Arctic moisture variability.

Zhibiao Wang, Qinghua Ding, Renguang Wu, Thomas J Ballinger, Bin Guan, Deniz Bozkurt, Deanna Nash, Ian Baxter, Dániel Topál, Zhe Li and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Zhibiao WangCenter for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-4462-2712
Qinghua DingDepartment of Geography and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA. qinghua@ucsb.edu.ORCID http://orcid.org/0000-0003-3634-0181
Renguang WuSchool of Earth Sciences, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-4712-2251
Thomas J BallingerInternational Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, USA. tjballinger@alaska.edu.ORCID http://orcid.org/0000-0002-8722-1927
Bin GuanJoint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8428-5984
Deniz BozkurtDepartment of Meteorology, University of Valparaíso, Valparaíso, Chile.ORCID http://orcid.org/0000-0003-1021-8241
Deanna NashCenter for Western Weather and Water Extremes, Scripps Institution of Oceanograph, University of California San Diego, La Jolla, CA, USA.
Ian BaxterDepartment of Geography and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0002-1702-2471
Dániel TopálEarth and Climate Research, Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Zhe LiDepartment of Geography and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0001-7607-1559
Gang HuangState Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-8692-7856
Wen ChenDepartment of Atmospheric Sciences, Yunnan University, Kunming, China.ORCID http://orcid.org/0000-0001-9327-9079
Shangfeng ChenCenter for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-4347-8592
Xi CaoCenter for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-2064-7018
Zhang ChenSchool of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China.

Funding

NSF | Directorate for Geosciences (GEO) OPP 2246600NSF | Directorate for Geosciences (GEO) OPP 2246601United States Department of Commerce | NOAA | Climate Program Office (NOAA Climate Program Office) NA23OAR4310273
6 · The paper itself

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.

Identifiers

PMID38951529
PMCPMC11217282

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.