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http://hdl.handle.net/20.500.12386/27397
Titolo: | Validating coronal magnetic field reconstruction methods using solar wind simulations and synthetic imagery | Autori: | Pinto, Rui Rouillard, Alexis Génot, Vincent Amari, Tahar Buchlin, Eric Arge, Nick SASSO, CLEMENTINA ANDRETTA, Vincenzo BEMPORAD, Alessandro |
Data pubblicazione: | 2017 | Titolo del volume in cui è pubblicato il poster: | EGU General Assembly Conference Abstracts | Serie: | GEOPHYSICAL RESEARCH ABSTRACTS | Da pagina:: | 13650 | Abstract: | We present an ongoing effort within the ESA Modeling and Data Analysis Working Group (MADAWG) to determine automatically the magnetic connectivity between the solar surface and any point in interplanetary space. The goal is to produce predictions of the paths and propagation delays of plasma and energetic particle propagation. This is a key point for the data exploitation of the Solar Orbiter and Solar Probe Plus missions, and for establishing connections between remote and in-situ data. The background coronal magnetic field is currently determined via existing surface magnetograms and PFSS extrapolations, but the interface is ready to include different combinations of coronal field reconstruction methods (NLFFF, Solar Models), wind models (WSA, MULTI-VP), heliospheric models (Parker spiral, ENLIL, EUHFORIA). Some model realisations are also based on advanced magnetograms based on data assimilation techniques (ADAPT) and the HELCATS catalogue of simulations. The results from the different models will be combined in order to better assess the modelling uncertainties. The wind models provide synthetic white-light and EUV images which are compared to coronographic imagery, and the heliospheric models provide estimations of synthetic in-situ data wich are compared to spacecraft data. A part of this is work (wind modelling) is supported by the FP7 project #606692 (HELCATS). | Titolo del convegno: | EGU General Assembly 2017 | Luogo del convegno: | Vienna, Austria | Periodo del convegno: | 23–28 April, 2017 | URI: | http://hdl.handle.net/20.500.12386/27397 | ISSN: | 1029-7006 | Bibcode ADS: | 2017EGUGA..1913650P | Fulltext: | open |
È visualizzato nelle collezioni: | 3.02 Abstract in Atti di convegno |
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