Evidence map›Paper›PMID 41735458›Full record

ArticleScientific reports2026

Systematic rise in flight cancellations during space weather events.

R D Luo, Y Wang, F S Wei, X S Feng, M H Bo, H W Tang, D S Wang, L Bian, B Y Wang, Z Li and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

18 authors.

R D LuoState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China.
Y WangState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China. wingwy@mail.ustc.edu.cn.
F S WeiState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China.
X S FengState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China.
M H BoTravelsky Mobile Technology Limited, Beijing, China.
H W TangTravelsky Mobile Technology Limited, Beijing, China.
D S WangTravelsky Mobile Technology Limited, Beijing, China.
L BianTravelsky Mobile Technology Limited, Beijing, China.
B Y WangState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China.
Z LiNanjing University of Information Science and Technology, Nanjing, China.
P B ZuoState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China.
C W JiangState Key Laboratory of Solar Activity and Space Weather, School of Aerospace, Harbin Institute of Technology, Shenzhen, China.
X J XuState Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macao, China.
Z L ZhouState Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macao, China.
Y X TongTravelsky Mobile Technology Limited, Beijing, China.
D GaoTravelsky Mobile Technology Limited, Beijing, China.
Y X CaoShanghai Civil Aviation East China Air Traffic Control Engineering Technology Co., Ltd, Shanghai, China.
W Q ChenShanghai Civil Aviation East China Air Traffic Control Engineering Technology Co., Ltd, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solar activity can significantly influence the performance and reliability of both space-borne and ground-based technological systems on Earth. This phenomenon, known as space weather, can impact modern aviation operations through complex and highly interconnected mechanisms, presenting a challenging area of study. Until now, no systematic investigation has explored the influence of space weather on flight cancellations outside of specific polar routes. By analyzing ~ 5 million flight departure records from 5 hub airports in China between 2015 and 2019, a period spanning the declining phase and subsequent minimum of Solar Cycle 24, we provide the first evidence of a systematic increase in flight cancellations during space weather events. Our comparative analysis reveals that the average cancellation rate during space weather events, specifically Solar Flares, Interplanetary Coronal Mass Ejections, and Solar Proton Events, was 96.96% higher than during quiet periods. Counter-intuitively, Stream Interaction Regions showed no increase and even a slight decrease in cancellation rates. Additionally, investigations on geomagnetic-ionospheric disturbances reveal a quasi-linear relation between the rate of flight cancellations and the magnitude of perturbations. Such increased flight cancellations persist even when accounting for other factors, such as the seasonal effects. These findings imply that disruptions in communication and navigation systems during space weather events can significantly impact modern aviation operations, leading to more frequent flight cancellations. The superposed epoch analysis uncovers a well-defined temporal response curve of cancellation rates to independent space weather events. The correlations observed suggest that prolonged flight delays induced by space weather may be another important driver of the increased cancellation rates. This research expands the conventional understanding of space weather’s impact on aviation and it implies the importance of integrating space weather as a systematic factor in flight operations and planning, which may also help improve aviation efficiency and safety.

Indexed as

Flight CancellationsInterplanetary Coronal Mass EjectionSolar FlareSolar Proton EventSpace Weather

Identifiers

PMID41735458
PMCPMC12960799

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.