For the parcel model, removal would be based on: ``` prob = terminal_velocity * dt / length_scale = K * dt ``` (which is a linearisation of a Poissonian formula) where `length_scale` could be `cbqr(parcel_volume)`? and `K` denotes the removal rate (see eq. A18 in [Curtis et al. 2016](https://doi.org/10.1016/j.jcp.2016.06.029)) then do Monte-Carlo removal comparing the prob. with `u01` removal with the same flag as in SDM invalidation test could check if this is robust to changing dt and n_sd other option: multiply the multiplicity by the `prob`?