  One of the most severe limitations of the Lattice Boltzmann Method in the
context of simulating inertial flows is the coupling of the discretization of
space to the velocity discretization. It causes the need to increase the size
of computational meshes whenever one wants to increase the Reynolds number in
the system for a fixed velocity and viscosity. This work aims at adopting the
recently proposed meshless LBM formulation to the problem of high Reynolds
number flows by using its internal property of decoupled space and velocity
discretizations. In meshless formulation, one can change the reference length
of the problem by scaling the distances between points that discretize the
domain while the streaming distance remains fixed. By doing that, we increase
the Reynolds number at no cost: additional nodes need not be inserted in the
discretization. We measure the accuracy and efficiency of this approach in the
flow around a circular obstacle at $Re=84$--$168$, the lid-driven cavity flow
at $Re=100$--$5000$, and the flow through a porous sample at $Re=0.8$--$1500$.
Additionally, we apply the meshless streaming step to the recently proposed
fixed relaxation time $\tau=1$ LBM to extend its applicability to model
inertial flows.
