Additional flight delays and magnetospheric–ionospheric disturbances during solar storms Article Swipe
Yi Wang
,
X. H. Xu
,
Fangli Wei
,
Xueshang Feng
,
M. H. Bo
,
Han Tang
,
D. S. Wang
,
L. Bian
,
B. Y. Wang
,
Wenpu Zhang
,
Yuanxin Huang
,
Z. Li
,
Jianpeng Guo
,
Pingbing Zuo
,
Chaowei Jiang
,
Xiaojun Xu
,
Zilu Zhou
,
Peng Zou
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-30424-2
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-30424-2
Although the sun is really far away from us, some solar activities could still influence the performance and reliability of space-borne and ground-based technological systems on Earth. Those time-varying conditions in space caused by the sun are also called solar storm or space weather. It is known that aviation activities can be affected during solar storms, but the exact effects of space weather on aviation are still unclear. Especially how the flight delays, the top topic concerned by most people, will be affected by space weather has never been thoroughly researched. By analyzing huge amount of flight data (~ 4 × 10 6 records), for the first time, we quantitatively investigate the flight delays during space weather events. It is found that compared to the quiet periods, the average arrival delay time and 30-min delay rate during space weather events are significantly increased by 81.34% and 21.45% respectively. The evident negative correlation between the yearly flight regularity rate and the yearly mean total sunspot number during 22 years also confirms such correlation. Further studies show that the flight delay time and delay rate will monotonically increase with the geomagnetic field fluctuations and ionospheric disturbances. These results indicate that the interferences in communication and navigation during space weather events may be the most probable reason accounting for the increased flight delays. The above analyses expand the traditional field of space weather research and could also provide us with brand new views for improving the flight delay predications.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-023-30424-2
- https://www.nature.com/articles/s41598-023-30424-2.pdf
- OA Status
- gold
- Cited By
- 9
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321783252
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4321783252Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-023-30424-2Digital Object Identifier
- Title
-
Additional flight delays and magnetospheric–ionospheric disturbances during solar stormsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-24Full publication date if available
- Authors
-
Yi Wang, X. H. Xu, Fangli Wei, Xueshang Feng, M. H. Bo, Han Tang, D. S. Wang, L. Bian, B. Y. Wang, Wenpu Zhang, Yuanxin Huang, Z. Li, Jianpeng Guo, Pingbing Zuo, Chaowei Jiang, Xiaojun Xu, Zilu Zhou, Peng ZouList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-023-30424-2Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-023-30424-2.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-023-30424-2.pdfDirect OA link when available
- Concepts
-
Space weather, Meteorology, Ionosphere, Geomagnetic storm, Environmental science, Storm, Atmospheric sciences, Earth's magnetic field, Physics, Geophysics, Magnetic field, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.exact | 59 |
| abstract_inverted_index.field | 190, 227 |
| abstract_inverted_index.first | 107 |
| abstract_inverted_index.found | 121 |
| abstract_inverted_index.known | 47 |
| abstract_inverted_index.never | 88 |
| abstract_inverted_index.quiet | 126 |
| abstract_inverted_index.solar | 11, 40, 55 |
| abstract_inverted_index.space | 32, 43, 62, 85, 116, 138, 206, 229 |
| abstract_inverted_index.still | 14, 67 |
| abstract_inverted_index.storm | 41 |
| abstract_inverted_index.time, | 108 |
| abstract_inverted_index.topic | 76 |
| abstract_inverted_index.total | 163 |
| abstract_inverted_index.views | 240 |
| abstract_inverted_index.years | 168 |
| abstract_inverted_index.21.45% | 147 |
| abstract_inverted_index.30-min | 134 |
| abstract_inverted_index.81.34% | 145 |
| abstract_inverted_index.Earth. | 27 |
| abstract_inverted_index.amount | 95 |
| abstract_inverted_index.called | 39 |
| abstract_inverted_index.caused | 33 |
| abstract_inverted_index.delays | 114 |
| abstract_inverted_index.during | 54, 115, 137, 166, 205 |
| abstract_inverted_index.events | 140, 208 |
| abstract_inverted_index.expand | 224 |
| abstract_inverted_index.flight | 72, 97, 113, 156, 178, 219, 244 |
| abstract_inverted_index.number | 165 |
| abstract_inverted_index.really | 5 |
| abstract_inverted_index.reason | 214 |
| abstract_inverted_index.yearly | 155, 161 |
| abstract_inverted_index.Further | 173 |
| abstract_inverted_index.arrival | 130 |
| abstract_inverted_index.average | 129 |
| abstract_inverted_index.between | 153 |
| abstract_inverted_index.delays, | 73 |
| abstract_inverted_index.delays. | 220 |
| abstract_inverted_index.effects | 60 |
| abstract_inverted_index.events. | 118 |
| abstract_inverted_index.evident | 150 |
| abstract_inverted_index.people, | 80 |
| abstract_inverted_index.provide | 235 |
| abstract_inverted_index.results | 196 |
| abstract_inverted_index.storms, | 56 |
| abstract_inverted_index.studies | 174 |
| abstract_inverted_index.sunspot | 164 |
| abstract_inverted_index.systems | 25 |
| abstract_inverted_index.weather | 63, 86, 117, 139, 207, 230 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Although | 1 |
| abstract_inverted_index.affected | 53, 83 |
| abstract_inverted_index.analyses | 223 |
| abstract_inverted_index.aviation | 49, 65 |
| abstract_inverted_index.compared | 123 |
| abstract_inverted_index.confirms | 170 |
| abstract_inverted_index.increase | 186 |
| abstract_inverted_index.indicate | 197 |
| abstract_inverted_index.negative | 151 |
| abstract_inverted_index.periods, | 127 |
| abstract_inverted_index.probable | 213 |
| abstract_inverted_index.research | 231 |
| abstract_inverted_index.unclear. | 68 |
| abstract_inverted_index.weather. | 44 |
| abstract_inverted_index.analyzing | 93 |
| abstract_inverted_index.concerned | 77 |
| abstract_inverted_index.improving | 242 |
| abstract_inverted_index.increased | 143, 218 |
| abstract_inverted_index.influence | 15 |
| abstract_inverted_index.records), | 104 |
| abstract_inverted_index.Especially | 69 |
| abstract_inverted_index.accounting | 215 |
| abstract_inverted_index.activities | 12, 50 |
| abstract_inverted_index.conditions | 30 |
| abstract_inverted_index.navigation | 204 |
| abstract_inverted_index.regularity | 157 |
| abstract_inverted_index.thoroughly | 90 |
| abstract_inverted_index.correlation | 152 |
| abstract_inverted_index.geomagnetic | 189 |
| abstract_inverted_index.investigate | 111 |
| abstract_inverted_index.ionospheric | 193 |
| abstract_inverted_index.performance | 17 |
| abstract_inverted_index.reliability | 19 |
| abstract_inverted_index.researched. | 91 |
| abstract_inverted_index.space-borne | 21 |
| abstract_inverted_index.traditional | 226 |
| abstract_inverted_index.correlation. | 172 |
| abstract_inverted_index.fluctuations | 191 |
| abstract_inverted_index.ground-based | 23 |
| abstract_inverted_index.time-varying | 29 |
| abstract_inverted_index.communication | 202 |
| abstract_inverted_index.disturbances. | 194 |
| abstract_inverted_index.interferences | 200 |
| abstract_inverted_index.monotonically | 185 |
| abstract_inverted_index.predications. | 246 |
| abstract_inverted_index.respectively. | 148 |
| abstract_inverted_index.significantly | 142 |
| abstract_inverted_index.technological | 24 |
| abstract_inverted_index.quantitatively | 110 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5100607919 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 18 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I204983213, https://openalex.org/I4210115570 |
| citation_normalized_percentile.value | 0.85876069 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |