Abstract
The implementation and first results of the new space weather forecasting-targeted inner heliosphere model “European heliospheric forecasting information asset” (EUHFORIA) are presented. EUHFORIA consists of two major components: a coronal model and a heliosphere model including coronal mass ejections. The coronal model provides data-driven solar wind plasma parameters at 0.1 AU by constructing a magnetic field model of the coronal large-scale magnetic field and employing empirical relations to determine the plasma state such as the solar wind speed and mass density. These are then used as boundary conditions to drive a three-dimensional time-dependent magnetohydrodynamics model of the inner heliosphere up to 2 AU. CMEs are injected into the ambient solar wind modeled using the cone model, with their parameters obtained from fits to imaging observations. In addition to detailing the modeling methodology, an initial validation run is presented. The results feature a highly dynamic heliosphere that the model is able to capture in good agreement with in situ observations. Finally, future horizons for the model are outlined.
Highlights
From a socio-economic perspective, among the most important manifestations of the dynamic nature of the Sun are solar eruptions
The modeling described in this paper employs proven semi-empirical models and methods to compute the boundary conditions that drive the magnetohydrodynamics model of the inner heliosphere that forms the core of EUHFORIA
Similar to Arge (2003); Detman et al (2006), the magnetic field model consists of two parts: in the lower corona for r ∈ [R⊙, Ri], the magnetic field is given by the potential field source surface (PFSS) model (Altschuler & Newkirk, 1969) in which the magnetic field is assumed to be current-free and is set to be purely radial at a given source surface radius Rss ≥ Ri
Summary
From a socio-economic perspective, among the most important manifestations of the dynamic nature of the Sun are solar eruptions. Recently have space weather oriented methods that aim to predict the magnetic structure of CMEs been constructed (e.g., Savani et al, 2015; Isavnin, 2016; Kay et al, 2017). A significant hurdle for such empirical-based methods is to account for the dynamics of the CME propagation especially for complex cases that include interacting solar wind structures. We describe the current implementation of the European heliospheric forecasting information asset (EUHFORIA). This newely developed model is a physics-based simulation tool designed for space weather forecasting purposes. The modeling described in this paper employs proven semi-empirical models and methods to compute the boundary conditions that drive the magnetohydrodynamics model of the inner heliosphere that forms the core of EUHFORIA.
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