Abstract. Theoretical models of the below-cloud scavenging (BCS) of aerosol
by rain yield scavenging rates that are 1–2 orders of magnitude smaller than
observations and associated empirical schemes for submicron-sized aerosol.
Even when augmented with processes which may explain this disparity, such as
phoresis and rear capture in the raindrop wake, the theoretical BCS rates
remain an order of magnitude less than observations. Despite this disparity,
both theoretical and empirical BCS schemes remain in wide use within
numerical aerosol models. BCS is an important sink for atmospheric aerosol,
in particular for insoluble aerosol such as mineral dust, which is less
likely to be scavenged by in-cloud processes than purely soluble aerosol. In
this paper, various widely used theoretical and empirical BCS models are
detailed and then applied to mineral dust in climate simulations with the
Met Office's Unified Model in order the gauge the sensitivity of aerosol
removal to the choice of BCS scheme. We show that the simulated accumulation-mode dust lifetime ranges from 5.4 d in using an empirical BCS scheme
based on observations to 43.8 d using a theoretical scheme, while the
coarse-mode dust lifetime ranges from 0.9 to 4 d, which highlights the
high sensitivity of dust concentrations to BCS scheme. We also show that
neglecting the processes of rear capture and phoresis may overestimate
submicron-sized dust burdens by 83 %, while accounting for modal widths
and mode merging in modal aerosol models alongside BCS is important for
accurately reproducing observed aerosol size distributions and burdens. This
study provides a new parameterisation for the rear capture of aerosol by
rain and is the first to explicitly incorporate the rear-capture mechanism
in climate model simulations. Additionally, we answer many outstanding
questions pertaining to the numerical modelling of BCS of aerosol by rain
and provide a computationally inexpensive BCS algorithm that can be readily
incorporated into other aerosol models.