Computer Science – Artificial Intelligence
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004agufmsh53b0327l&link_type=abstract
American Geophysical Union, Fall Meeting 2004, abstract #SH53B-0327
Computer Science
Artificial Intelligence
6944 Nonlinear Phenomena, 2162 Solar Cycle Variations (7536), 2784 Solar Wind/Magnetosphere Interactions, 1739 Solar/Planetary Relationships, 1650 Solar Variability
Scientific paper
A new approach of exploring and forecasting solar activity was recently introduced. The Lund Solar Activity Model (LSAM) uses as input solar activity indicators: For exploration of the long-term space climate C14 proxy. For short-term (space weather) flare forecasts solar magnetic field and helioseismic data. The Lund Group also operates the Region Warning Center (RWC) Sweden of ISES. Real-time forecasts of the space weather and effects are offered. New real-time forecasts of the local geomagnetic activity have been developed, as part of the ESA GIC pilot project. A third workshop on Artificial Intelligence Applications in Solar-Terrestrial Physics is planned to be held in Lund, September 21-23, 2005.
Boberg Fredrik
Jensen Jesper Munk
Lundstedt Henrik
Wik M.
Wintoft Peter
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