Physics
Scientific paper
Oct 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011soph..273..179j&link_type=abstract
Solar Physics, Volume 273, Issue 1, pp.179-203
Physics
1
Coronal Model, Corotating Interaction Region, Heliospheric Model, Radial Evolution, Solar Wind, Space Weather
Scientific paper
During the latitudinal alignment in 2004, ACE and Ulysses encountered two stream interaction regions (SIRs) each Carrington rotation from 2016 to 2018, at 1 and 5.4 AU, respectively. More SIR-driven shocks were observed at 5.4 AU than at 1 AU. Three small SIRs at 1 AU merged to form a strong SIR at 5.4 AU. We compare the Enlil model results with spacecraft observations from four aspects: i) the accuracy of the latest versions of models (WSA v2.2 and Enlil v2.7) vs. old versions (WSA v1.6 and Enlil v2.6), ii) the sensitivity to different solar magnetograms (MWO vs. NSO), iii) the sensitivity to different coronal models (WSA vs. MAS), iv) the predictive capability at 1 AU vs. 5.4 AU. We find the models can capture field sector boundaries with some time offset. Although the new versions have improved the SIR timing prediction, the time offset can be up to two days at 1 AU and four days at 5.4 AU. The models cannot capture some small-scale structures, including shocks and small SIRs at 1 AU. For SIRs, the temperature and total pressure are often underestimated, while the density compression is overestimated. For slow wind, the density is usually overestimated, while the temperature, magnetic field, and total pressure are often underestimated. The new versions have improved the prediction of the speed and density, but they need more robust scaling factors for magnetic field. The Enlil model results are very sensitive to different solar magnetograms and coronal models. It is hard to determine which magnetogram-coronal model combination is superior to others. Higher-resolution solar and coronal observations, a mission closer to the Sun, together with simulations of greater resolution and added physics, are ways to make progress for the solar wind modeling.
Jian Lan K.
Linker Jon A.
Luhmann Janet G.
MacNeice Peter J.
Odstrcil Dusan
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