Studying the spheromak rotation in data-constrained CME modelling with EUHFORIA and assessing its effect on the Bz prediction Article Swipe
Ranadeep Sarkar
,
Jens Pomoell
,
Emilia Kilpua
,
Eleanna Asvestari
,
Nicolas Wijsen
,
Anwesha Maharana
,
Stefaan Poedts
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2311.15616
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2311.15616
A key challenge in space weather forecasting is accurately predicting the magnetic field topology of interplanetary coronal mass ejections (ICMEs), specifically the north-south magnetic field component (Bz) for Earth-directed CMEs. Heliospheric MHD models typically use spheromaks to represent the magnetic structure of CMEs. However, when inserted into the ambient interplanetary magnetic field, spheromaks can experience a phenomenon reminiscent of the condition known as the "spheromak tilting instability", causing its magnetic axis to rotate. From the perspective of space weather forecasting, it is crucial to understand the effect of this rotation on predicting Bz at 1 au while implementing the spheromak model for realistic event studies. In this work, we study this by modelling a CME event on 2013 April 11 using the "EUropean Heliospheric FORecasting Information Asset" (EUHFORIA). Our results show that a significant spheromak rotation up to 90 degrees has occurred by the time it reaches 1 au, while the majority of this rotation occurs below 0.3 au. This total rotation resulted in poor predicted magnetic field topology of the ICME at 1 au. To address this issue, we further investigated the influence of spheromak density on mitigating rotation. The results show that the spheromak rotation is less for higher densities. Importantly, we observe a substantial reduction in the uncertainties associated with predicting Bz when there is minimal spheromak rotation. Therefore, we conclude that spheromak rotation adversely affects Bz prediction in the analyzed event, emphasizing the need for caution when employing spheromaks in global MHD models for space weather forecasting.
Related Topics
Concepts
Spheromak
Physics
Rotation (mathematics)
Space weather
Magnetohydrodynamics
Magnetic field
Magnetic reconnection
Coronal mass ejection
Interplanetary spaceflight
Computational physics
Solar wind
Geophysics
Computer science
Artificial intelligence
Quantum mechanics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2311.15616
- https://arxiv.org/pdf/2311.15616
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389116184
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389116184Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2311.15616Digital Object Identifier
- Title
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Studying the spheromak rotation in data-constrained CME modelling with EUHFORIA and assessing its effect on the Bz predictionWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-27Full publication date if available
- Authors
-
Ranadeep Sarkar, Jens Pomoell, Emilia Kilpua, Eleanna Asvestari, Nicolas Wijsen, Anwesha Maharana, Stefaan PoedtsList of authors in order
- Landing page
-
https://arxiv.org/abs/2311.15616Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2311.15616Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2311.15616Direct OA link when available
- Concepts
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Spheromak, Physics, Rotation (mathematics), Space weather, Magnetohydrodynamics, Magnetic field, Magnetic reconnection, Coronal mass ejection, Interplanetary spaceflight, Computational physics, Solar wind, Geophysics, Computer science, Artificial intelligence, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.using | 120 |
| abstract_inverted_index.while | 96, 149 |
| abstract_inverted_index.work, | 107 |
| abstract_inverted_index.Asset" | 126 |
| abstract_inverted_index.effect | 86 |
| abstract_inverted_index.event, | 234 |
| abstract_inverted_index.field, | 51 |
| abstract_inverted_index.global | 244 |
| abstract_inverted_index.higher | 200 |
| abstract_inverted_index.issue, | 178 |
| abstract_inverted_index.models | 32, 246 |
| abstract_inverted_index.occurs | 155 |
| abstract_inverted_index.address | 176 |
| abstract_inverted_index.affects | 228 |
| abstract_inverted_index.ambient | 48 |
| abstract_inverted_index.causing | 67 |
| abstract_inverted_index.caution | 239 |
| abstract_inverted_index.coronal | 16 |
| abstract_inverted_index.crucial | 82 |
| abstract_inverted_index.degrees | 139 |
| abstract_inverted_index.density | 186 |
| abstract_inverted_index.further | 180 |
| abstract_inverted_index.minimal | 218 |
| abstract_inverted_index.observe | 204 |
| abstract_inverted_index.reaches | 146 |
| abstract_inverted_index.results | 129, 191 |
| abstract_inverted_index.rotate. | 72 |
| abstract_inverted_index.tilting | 65 |
| abstract_inverted_index.weather | 5, 78, 249 |
| abstract_inverted_index.(ICMEs), | 19 |
| abstract_inverted_index.However, | 43 |
| abstract_inverted_index.analyzed | 233 |
| abstract_inverted_index.conclude | 223 |
| abstract_inverted_index.inserted | 45 |
| abstract_inverted_index.magnetic | 11, 23, 39, 50, 69, 166 |
| abstract_inverted_index.majority | 151 |
| abstract_inverted_index.occurred | 141 |
| abstract_inverted_index.resulted | 162 |
| abstract_inverted_index.rotation | 89, 135, 154, 161, 196, 226 |
| abstract_inverted_index.studies. | 104 |
| abstract_inverted_index.topology | 13, 168 |
| abstract_inverted_index."EUropean | 122 |
| abstract_inverted_index.adversely | 227 |
| abstract_inverted_index.challenge | 2 |
| abstract_inverted_index.component | 25 |
| abstract_inverted_index.condition | 60 |
| abstract_inverted_index.ejections | 18 |
| abstract_inverted_index.employing | 241 |
| abstract_inverted_index.influence | 183 |
| abstract_inverted_index.modelling | 112 |
| abstract_inverted_index.predicted | 165 |
| abstract_inverted_index.realistic | 102 |
| abstract_inverted_index.reduction | 207 |
| abstract_inverted_index.represent | 37 |
| abstract_inverted_index.rotation. | 189, 220 |
| abstract_inverted_index.spheromak | 99, 134, 185, 195, 219, 225 |
| abstract_inverted_index.structure | 40 |
| abstract_inverted_index.typically | 33 |
| abstract_inverted_index."spheromak | 64 |
| abstract_inverted_index.Therefore, | 221 |
| abstract_inverted_index.accurately | 8 |
| abstract_inverted_index.associated | 211 |
| abstract_inverted_index.densities. | 201 |
| abstract_inverted_index.experience | 54 |
| abstract_inverted_index.mitigating | 188 |
| abstract_inverted_index.phenomenon | 56 |
| abstract_inverted_index.predicting | 9, 91, 213 |
| abstract_inverted_index.prediction | 230 |
| abstract_inverted_index.spheromaks | 35, 52, 242 |
| abstract_inverted_index.understand | 84 |
| abstract_inverted_index.(EUHFORIA). | 127 |
| abstract_inverted_index.FORecasting | 124 |
| abstract_inverted_index.Information | 125 |
| abstract_inverted_index.emphasizing | 235 |
| abstract_inverted_index.forecasting | 6 |
| abstract_inverted_index.north-south | 22 |
| abstract_inverted_index.perspective | 75 |
| abstract_inverted_index.reminiscent | 57 |
| abstract_inverted_index.significant | 133 |
| abstract_inverted_index.substantial | 206 |
| abstract_inverted_index.Heliospheric | 30, 123 |
| abstract_inverted_index.Importantly, | 202 |
| abstract_inverted_index.forecasting, | 79 |
| abstract_inverted_index.forecasting. | 250 |
| abstract_inverted_index.implementing | 97 |
| abstract_inverted_index.investigated | 181 |
| abstract_inverted_index.specifically | 20 |
| abstract_inverted_index.instability", | 66 |
| abstract_inverted_index.uncertainties | 210 |
| abstract_inverted_index.Earth-directed | 28 |
| abstract_inverted_index.interplanetary | 15, 49 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile |