
Wedemeyer et al. Numerical modelling of the Sun at millimetre wavelengths
of the brightness temperature variations that a telescope with sufficient resolution would be able to observe
(Loukitcheva et al., 2008).
However, the solar atmosphere and in particular the highly dynamic and intermittent chromosphere is
a truly time-dependent three-dimensional phenomenon, which poses significant challenges for realistic
modelling capable of reproducing observational findings. Also, temporal variations on short timescales
are typically connected to spatial variations across short length scales. Consequently, accounting for the
full time-dependence and multi-dimensionality of the solar chromosphere is a substantial step forward
from one-dimensional approaches. In view of limited computational resources, early 3D simulations were
restricted in the overall number of grid cells, seeking a compromise between required resolution and
extent of the computational domain, and the physical processes that could be numerically treated (see, e.g.,
Skartlien et al., 2000; Wedemeyer et al., 2004). The enormous increase in computational power over the last
decades now enable simulations with much higher numbers of grid cells and thus a better representation of
the chromospheric small-scale structure and larger extents of the modelled region. However, self-consistent
numerical simulations of whole Active Regions are still at the modelling frontier (Rempel et al., 2009).
Numerical two-dimensional (2D) and and three-dimensional (3D) models produced with the radiation
magnetohydrodynamics (rMHD) simulation codes Bifrost (Gudiksen et al., 2011) and
CO5BOLD
(Freytag
et al., 2012) have already been used as basis for the synthesis of mm continuum radiation (see, e.g.,
Wedemeyer-B
¨
ohm et al., 2007; Loukitcheva et al., 2015) but an increasing number of codes is developing
the necessary functionality, e.g., MURaM (Przybylski et al., 2022). Both Bifrost and
CO5BOLD
solve
the equations of magnetohydrodynamics and radiative energy transfer together with a realistic equation
of state and realistic opacities and further relevant physics. A typical model includes a small part of
the solar atmosphere (from a few Mm to a few 10 Mm, cf. Wedemeyer et al., 2016, and references
therein) and extends from the upper convection zone into the chromosphere and/or low corona (see
Fig. 1, upper left). This way the dynamics in the model are driven self-consistently and all layers mapped
by ALMA are included. A simulation typically starts with an evolved model snapshot (or any other
initial condition) and is evolved in time step by step, where the computational time steps are of the
order of 1 ms to 100 ms, depending on the magnetic field strength in the model. Simulation snapshots
of the physical parameters can be output at freely selectable cadence. Modelling the layers of the solar
atmosphere above the temperature minimum in a realistic way requires the inclusion of additional physical
processes and deviations from equilibrium conditions that are usually computationally expensive. As
discussed in Sect. 2.2.1, the detailed treatment of time-dependent non-equilibrium hydrogen ionisation,
like it is implemented in Bifrost, is of particular importance for the continuum radiation at millimetre
wavelengths. Adding also non-equilibrium ionisation of helium and ion-neutral interactions (ambipolar
diffusion) significantly increases the computational costs. Consequently, only a small number of models so
far can account for these additional ingredients and are necessarily limited to 2.5D in order to render such
modelling computationally feasible (Mart
´
ınez-Sykora et al., 2020). These models suggest that the effective
formation heights of the millimetre continuum in both ALMA Band 3 and 6 is similar in active regions
(ARs) and network regions, which contradicts results from previous simulations (see Wedemeyer et al.,
2016, and references therein) and actual ALMA observations (e.g., Hofmann et al., 2022). Clearly, the
inclusion of more physical processes relevant under chromospheric conditions as implemented in the 2.5D
simulations by Mart
´
ınez-Sykora et al. (2020) is an essential step in the right direction. However, given
the complicated small-scale dynamics of the chromosphere, modelling this layer in full 3D at sufficient
resolution is a critical requirement that comes with high computational costs.
Frontiers 5