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Improving CME evolution and arrival predictions with AMR and grid stretching in Icarus


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Improving CME evolution and arrival predictions with AMR and grid stretching in Icarus by Tinatin Baratashvili et al. on Thursday 24 November
Coronal Mass Ejections (CMEs) are one of the main drivers of disturbances in
the interplanetary space. Strong CMEs, when directed towards the Earth, cause
geo-magnetic storms upon interacting with the magnetic field of the Earthand
can cause significant damage to our planet and affect everyday life. As such,
efficient space weather prediction tools are necessary to forecast the arrival
and impact of CME eruptions. Recently, a new heliospheric model Icarus was
developed based on MPI-AMRVAC, which is a 3D ideal MHD model for the solar wind
and CME propagation, and it introduces advanced numerical techniques to make
the simulations more efficient. A cone model is used to study the evolution of
the CME through the background solar wind and its arrival and impact at Earth.
Grid stretching and AMR are combined in the simulations by using multiple
refinement criteria. We compare simulation results to the EUFHORIA model. As a
result, the simulations were sped up by a factor of 17 for the most optimal
configuration in Icarus. For the cone CME model, we found that limiting the AMR
to the region around the CME-driven shock yields the best results. The results
modelled by the simulations with radial grid stretching and AMR level 4 are
similar to the results provided by the original EUHFORIA and Icarus simulations
with the 'standard' resolution and equidistant grids. The simulations with 5
AMR levels yielded better results than the simulations with an equidistant grid
and standard resolution. Solution AMR is flexible and provides the user the
freedom to modify and locally increase the grid resolution according to the
purpose of the simulation. The advanced techniques implemented in Icarus can be
further used to improve the forecasting procedures, since the reduced
simulation time is essential to make physics-based forecasts less
computationally expensive.
arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.12867v1
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Astro arXiv | astro-ph.SRBy Corentin Cadiou