| Title | A numerical framework for operational solar wind prediction |
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| Author | Nikolic, L; Trichtchenko, L ; Boteler, D |
| Source | Papers from the 23rd International Toki Conference on large-scale simulation and fusion science; by Japan Society of Plasma Science and Nuclear Fusion Research; Plasma and Fusion Research vol. 9, no. 2,
3406099, 2014 p. 1-5, https://doi.org/10.1585/pfr.9.3406099  Open Access |
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| Year | 2014 |
| Alt Series | Earth Sciences Sector, Contribution Series 20140002 |
| Publisher | Japan Society of Plasma Science and Nuclear Fusion Research |
| Meeting | 23rd International Toki Conference on Large-scale Simulation and Fusion Science; Toki-city; JP; November 18-21, 2013 |
| Document | serial |
| Lang. | English; English |
| Media | on-line; digital |
| File format | pdf; html |
| Area | Sun |
| Subjects | extraterrestrial geology; Health and Safety; modelling; analytical methods; magnetic field; magnetic anomalies |
| Illustrations | analyses |
| Program | Public Safety Geoscience Northern Canada Geohazards Project |
| Released | 2014 01 01 |
| Abstract | We report on the development of numerical components for an operational solar wind prediction framework. In particular, we discuss the coronal magnetic field component based on the potential field
source surface and Schatten current sheet models, and the solar wind speed component which uses the empirical Wang-Sheeley-Arge relation between solar wind speed and open magnetic field lines. Using synoptic maps of photospheric fields in a
stand-alone operational mode, the components provide the configuration of the global coronal magnetic field and prediction of the solar wind speed at 1AU. A good agreement between numerical prediction and solar wind speed observations has been
found. |
| Summary | (Plain Language Summary, not published)
Space weather refers to the dynamic conditions on the Sun and in the space environment, in particular, in the near-Earth environment, that can affect
critical infrastructure. NRCan operates the Canadian Space Weather Forecast Centre and conducts research into space weather effects on power systems, pipelines, radio communications and GNSS positioning to help Canadian industry understand and
mitigate the effects of space weather. This work deals with the numerical modeling that aims to provide satisfactory prediction of variations in the solar wind speed 1-5 days in advance. |
| GEOSCAN ID | 293830 |
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