Evidence map›Paper›PMID 41276532›Full record

ArticleNature communications2025

Westerly jet waviness modulates mid-latitude hydroclimate variability.

Liangqing Cheng, Jingran Zhang, Yubin Wu, Jun Cheng, Liang Yi, Zhigang Zhang, Hao Long

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Liangqing Cheng *Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.ORCID http://orcid.org/0009-0005-3722-4758
Jingran Zhang *State Key Laboratory of Climate System Prediction and Risk Management, School of Geography, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China.
Yubin WuSchool of Geographic Science and Tourism, Nanyang Normal University, Nanyang, China.
Jun ChengSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China.ORCID http://orcid.org/0000-0003-0168-1410
Liang YiState Key Laboratory of Marine Geology, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0003-3377-8591
Zhigang ZhangState Key Laboratory of Climate System Prediction and Risk Management, School of Geography, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China.
Hao LongKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China. longhao@niglas.ac.cn.ORCID http://orcid.org/0000-0002-2767-5521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mid-latitude ecological environment is highly vulnerable, and increasing hydroclimate variability poses a significant threat to it. However, the mechanisms driving this variability remain unclear due to short observational records and climate model biases. Here, we present a sub-millennial resolution precipitation record spanning the past ~5.7 million years (Myr), derived from a 300.8-meter fluvio-lacustrine sediment core in mid-latitude East Asia (northern China). Our results reveal a persistent influence of the westerly jet on mid-latitude precipitation since the Pliocene, as well as a marked reduction in mid-latitude precipitation variability alongside amplified low-latitude variability after ~3 million years ago (Ma). Based on idealized sensitivity simulations, we attribute the amplified mid-latitude precipitation variability before ~3 Ma to enhanced westerly jet waviness driven by Arctic warming. Given projected increases in jet waviness under future global warming, we predict more frequent hydroclimate extremes in mid-latitude regions.

Identifiers

PMID41276532
PMCPMC12686411

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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.