Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11381-2022
https://doi.org/10.5194/acp-22-11381-2022
Research article
 | 
06 Sep 2022
Research article |  | 06 Sep 2022

Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model

Anthony C. Jones, Adrian Hill, John Hemmings, Pascal Lemaitre, Arnaud Quérel, Claire L. Ryder, and Stephanie Woodward

Data sets

Data to support Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust A. C. Jones, A. Hill, J. Hemmings, P. Lemaitre, A. Querel, C. Ryder, and S. Woodward http://dx.doi.org/10.5285/2e36fe8eb7ee4bd0a0833d3e1edd795a

Python and fortran scripts to support "Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust" by Anthony C. Jones, Adrian Hill, John Hemmings, Pascal Lemaitre, Arnaud Querel, Cl A. C. Jones https://doi.org/10.5281/zenodo.6617052

Model code and software

Unified Model Met Office http://www.metoffice.gov.uk/research/modelling-systems/unified-model

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Short summary
As raindrops fall to the ground, they capture aerosol (i.e. below-cloud scavenging or BCS). Many different BCS schemes are available to climate models, and it is unclear what the impact of selecting one scheme over another is. Here, various BCS models are outlined and then applied to mineral dust in climate model simulations. We find that dust concentrations are highly sensitive to the BCS scheme, with dust atmospheric lifetimes ranging from 5 to 44 d.
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