The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
EUHFORIA: European heliospheric forecasting information asset
Open accessAbstract
The implementation and first results of the new space weather forecasting-targeted inner heliosphere model “European heliospheric forecasting information asset” (EUHFORIA) are presented. EUHFORIA consists of two major components: a coronal model and a heliosphere model including coronal mass ejections. The coronal model provides data-driven solar wind plasma parameters at 0.1 AU by constructing a magnetic field model of the coronal large-scale magnetic field and employing empirical relations to determine the plasma state such as the solar wind speed and mass density. These are then used as boundary conditions to drive a three-dimensional time-dependent magnetohydrodynamics model of the inner heliosphere up to 2 AU. CMEs are injected into the ambient solar wind modeled using the cone model, with their parameters obtained from fits to imaging observations. In addition to detailing the modeling methodology, an initial validation run is presented. The results feature a highly dynamic heliosphere that the model is able to capture in good agreement with in situ observations. Finally, future horizons for the model are outlined.
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Cites
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Cited by
Space weather: the solar perspective: An update to Schwenn (2006)
Temmer, M. (2021) · Living Reviews in Solar Physics · doi:10.1007/s41116-021-00030-3 · Cited by 283
Metadata
- Authors
- Pomoell, J., & Poedts, S.
- Venue
- Journal of Space Weather and Space Climate
- Publisher
- EDP Sciences
- Published
- 2018
- Volume
- 8
- Pages
- A35
- ISSN
- 2115-7251 (ISSN-L)
- OpenAlex
- W2810615273
- Cited by
- 422
- References
- 23
- FWCI
- 20.08
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
