The open-source MPI-AMRVAC software [https://amrvac.org and Keppens et al, A&A 673, A66, 2023] is widely used for numerical plasma-astrophysical research, and has a fair number of offspin codes (BHAC, Gmunu, GR-AMRVAC) that routinely perform up to general relativistic magnetohydrodynamic (MHD) simulations. Its modular design is a key feature of the framework, along with the automated...
The coronal heating problem remains a central challenge in solar physics, which requires a detailed understanding of wave-based heating mechanisms. While the Alfvén Wave Solar Model (AWSoM) has shown great success in physics-based modelling of the solar corona, its focus on a single heating mechanism leaves room for improvement. This is why we developed the Uniturbulence and Alfvén Wave Solar...
Accurate prediction of the ambient solar wind at Earth is a key requirement for space-weather forecasting but is limited by uncertainties in coronal boundary conditions and, to a lesser extent, heliospheric transport. We present a solar wind forecasting approach that uses near-Earth in situ solar wind observations to estimate the inner boundary condition for the Heliospheric Upwind...
RIMAP (Reverse In situ data and MHD APproach) is a data-driven model designed to reconstruct the ambient solar-wind conditions in the solar equatorial plane starting from in situ measurements, coupling analytical backmapping with numerical simulations performed with the PLUTO MHD code. Unlike models primarily driven by remote-sensing observations, RIMAP is built to preserve longitudinal...
COolfluid COrona uNstrUcTured (COCONUT) [1-10] is a data-driven physics-based model for plasma simulations implemented within the open source COOLFluiD platform (https://github.com/andrealani/COOLFluiD/wiki). The core C++ solver implements a second-order accurate Finite Volume (FV) discretization for arbitrary unstructured grids, is fully parallel through the Message Passing Interface (MPI)...
