This study describes the implementation and evaluation of a stochastically perturbed parameter (SPP) scheme applied to the sea ice component of ECMWF's Integrated Forecast System (IFS). Applying the SPP scheme in seasonal forecasts enhances ensemble spread for both sea ice concentration and thickness by approximately 10%. The study then concisely catalogues atmospheric effects of introducing stochastic sea ice perturbations and shows that they improve seasonal forecast skill beyond the Arctic region, in particular in Europe during winter. Hypotheses are well presented and tested with different experiments, statistical tests, and toy models.