Here, we increase the fidelity of the model by replacing the bulk microphysics with a probabilistic particle-based representation covering the complete warm-rain formation and precipitation pathway inherently coupled with ambient aerosol and moisture reservoirs. To this end, the open-source PySDM particle-based modeling framework is extended with a representation of water isotopic composition, including 2H and 18O dynamics that stem from both equilibrium and kinetic fractionation effects throughout diffusional growth and evaporation under super- and sub-saturated conditions, respectively.
We explore the differences in simulated ambient vapor deuterium content profiles between the bulk and super-particle formulations of the model. We further discuss the potential for inclusion of isotopic fractionation effects in particle-based models covering other isotopologues as well as the ice-phase of water.

