Evidence map›Paper›PMID 41193519›Full record

ArticleScientific reports2025

Unfolding North American spring weather extremes along a scale ladder.

Jaeyoung Hwang, Zhenyu You, Yi Deng, Hera Kim

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jaeyoung HwangSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332‑0340, USA. jhwang362@gatech.edu.
Zhenyu YouSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332‑0340, USA.
Yi DengSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332‑0340, USA. yi.deng@eas.gatech.edu.
Hera KimDepartment of Atmospheric and Climate Science, University of Washington, Seattle, WA, United States of America.

Funding

U.S. National Oceanic and Atmospheric Administration NA22OAR4310606U.S. National Science Foundation AGS-2032532
6 · The paper itself

Abstract

Springtime weather extremes have profound socioeconomic consequences across North America. While their dynamical linkages with synoptic- and mesoscale systems are well-studied, there is limited understanding of their variability on subseasonal and longer timescales. Here, we unfold the multi-layered dynamics of these extremes along a "scale ladder" built around canonical modes of subseasonal variability over North America in spring. The four leading subseasonal modes are characterized by localized geopotential anomalies over the North Pacific and northeastern North America, and two branches of zonally propagating Rossby wave packets. These modes modulate the activity of wet, dry, and wind extremes across North America, causing up to a twofold change in their occurrence frequencies. Over four decades, these modes have shown distinct "active" and "muted" periods, leading to decadal-scale changes in extremes. The multiscale perspective highlighted here provides a dynamics-based guideline for dissecting long-term changes of extremes and extracting potential sources of predictability across timescales.

Indexed as

North AmericaSubseasonal variabilityWeather extreme

Identifiers

PMID41193519
PMCPMC12589454

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.