We note that the datasets in Hall et al. used a positive linear relationship between mass fraction and particle size, which is opposite to what is described in Fig. of Hall et al. due to an error in how the distributions were processed in internal scripts. We formalize the representation of particle size distributions in this work as truncated, log-normal distributions. We emphasize that there is little to no correspondence between the parameters reported in this work and that of Hall et al. due to the differences in distribution sampling. For a comparison of Hall et al. vs. this work, see Figure and Figure , respectively. To avoid any ambiguity, we define our parameters as x (scale in ) and s (shape) as used within scipy.stats.lognormal via e.g.: lognorm . pdf (x , shape , scale = scale ) Infinite random sampling from the log-normal distribution as defined by x results in an empirical distribution whose median is equal to x.