  Coarse-grained simulations are often employed to study the translocation of
DNA through a nanopore. The majority of these studies investigate the
translocation process in a relatively generic sense and do not endeavour to
match any particular set of experimental conditions. In this manuscript, we use
the concept of a P\'eclet number for translocation, $P_t$, to compare the
drift-diffusion balance in a typical experiment vs a typical simulation. We
find that the standard coarse-grained approach over-estimates diffusion effects
by anywhere from a factor of 5 to 50 compared to experimental conditions using
dsDNA. By defining a coarse-graining parameter, $\lambda$, we are able to
correct this and tune the simulations to replicate the experimental $P_t$ (for
dsDNA and other scenarios). To show the effect that a particular $P_t$ can have
on the dynamics of translocation, we perform simulations across a wide range of
$P_t$ values for two different types of driving forces: a force applied in the
pore and a pulling force applied to the end of the polymer. As $P_t$ brings the
system from a diffusion dominated to a drift dominated regime, a variety of
effects are observed including a non-monotonic dependence of the translocation
time $\tau$ on $P_t$ and a steep rise in the probability of translocating.
Comparing the two force cases illustrates the impact of the crowding effects
that occur on the trans side: a non-monotonic dependence of the width of the
$\tau$ distributions is obtained for the in-pore force but not for the pulling
force.
