I'm a PhD student investigating cloud microphysics and its implementation in climate models. In particular I'm interested in what we can learn from the Superdroplet model (https://doi.org/10.1002/qj.441), be that with regard to water droplet and/or ice particle growth or with regard to the model's representativeness and computational efficiency in comparison with other microphysics schemes. Currently I'm implementing the model in simplified scenarios to study its convergence properties (with increasing number of droplets for example) and computational cost.