Investigating the drag-based model parameters through statistical methods
- 1Dipartimento di Fisica, Università degli studi di Roma ”Tor Vergata”
- 2Dipartimento di Scienze Fisiche e Chimiche, Università degli studi dell’Aquila
- 3Centrum Wiskunde & Informatica, Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
- 4CIRES, University of Colorado Boulder
Due to their simplicity and relatively short computational time, empirical models for Solar Wind Transients, based on a restricted number of assumptions and on the values of a small set of parameters, play an important role in Space Weather forecasting. For this reason, an optimal choice of values for the model parameters is of critical importance in this approach. In this work, we compiled a list of CME events by merging and cross-referencing several databases and made use of such experimental data to evaluate statistical distributions for the model parameters of a chosen forecasting model for ICME arrivals, namely the Drag-Based model. Our results lead to several considerations and refinements to be implemented in the future in this and other forecasting models.
How to cite: Napoletano, G., Foldes, R., Berrilli, F., Calchetti, D., de Gasperis, G., Del Moro, D., Kumar Tiwari, A., Teunissen, J., and Camporeale, E.: Investigating the drag-based model parameters through statistical methods, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13434, https://doi.org/10.5194/egusphere-egu21-13434, 2021.