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| Paper: |
Improving Data Drivers for Coronal and Solar Wind Models |
| Volume: |
444, 5th International Conference of Numerical Modeling of Space Plasma Flows (ASTRONUM 2010) |
| Page: |
99 |
| Authors: |
Arge, C. N.; Henney, C. J.; Koller, J.; Toussaint, W. A.; Harvey, J. W.; Young, S. |
| Abstract: |
Global estimates of the solar photospheric magnetic field distribution are
critical for space weather forecasting. These global maps are the essential
data input for accurate modeling of the corona and solar wind, which is
vital for gaining the basic understanding necessary to improve space weather
forecasting models. We are now testing the global
photospheric field maps generated by the Air Force Data Assimilative
Photospheric flux Transport (ADAPT) model as input to the
Wang-Sheeley-Arge (WSA) coronal and solar wind model. ADAPT
incorporates data assimilation within a modified version of the
Worden & Harvey photospheric magnetic flux transport model to provide
an instantaneous snapshot of the global photospheric field distribution
compared to that of traditional synoptic maps. In this paper we provide
an overview of the WSA and ADAPT models, plus discuss preliminary
results obtained from WSA when using a traditional versus an ADAPT
photospheric field synoptic map as its input. |
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