Astronomy and Astrophysics – Astrophysics
Scientific paper
Jun 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010spwea...806007t&link_type=abstract
Space Weather, Volume 8, Issue 6, CiteID S06007
Astronomy and Astrophysics
Astrophysics
2
Solar Physics, Astrophysics, And Astronomy: Coronal Mass Ejections (2101), Space Weather: Forecasting (1922, 2722), Space Weather: Models
Scientific paper
It is very important, both for research and forecasting application, to be aware of uncertainty estimation of a scientific model, i.e., to know how model performance depends on the uncertainty in the input parameters. Scientific models are becoming more important as tools for space weather operators' applications and for space weather forecasting. It is essential that operational users, forecasters, model developers, and the scientific community are aware of model capabilities and limitations. In our previous study we validated the performance of the WSA/ENLIL cone model combination in simulating the propagation of 14 events of coronal mass ejections (CMEs) to the L1 point using the cone model approach for halo CMEs. In this short report we present the results of the uncertainty estimation for the WSA/ENLIL cone model combination studying the dependence of the arrival time of the CME shock and the magnitude of the CME impact on the magnetosphere on the uncertainty in the CME input parameters using three events from the previously reported 14 event list.
MacNeice Peter
Odstrcil Dusan
Taktakishvili A.
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