The article "Predicting global atmospheric ice nuclei distributions and their impacts on climate" by P. J. DeMott et al. explores the relationship between ice nuclei (IN) concentrations and temperature, as well as the number of particles larger than 0.5 μm in diameter. The authors combine data from nine field studies conducted over 14 years at various locations around the globe to develop a new parameterization that reduces the variability in IN concentrations at a given temperature from a factor of 1000 to 10. This improved parameterization is then incorporated into a global climate model, leading to significant changes in cloud liquid and ice water distributions compared to simpler, temperature-only parameterizations. The revised model predicts a global net cloud radiative forcing increase of approximately 1 W m\(^{-2}\) for each order of magnitude increase in IN concentrations, highlighting the sensitivity of climate simulations to assumptions about cloud glaciation initiation. The study emphasizes the importance of accurately representing IN in climate models to better understand the impacts of aerosols on cloud and precipitation processes.The article "Predicting global atmospheric ice nuclei distributions and their impacts on climate" by P. J. DeMott et al. explores the relationship between ice nuclei (IN) concentrations and temperature, as well as the number of particles larger than 0.5 μm in diameter. The authors combine data from nine field studies conducted over 14 years at various locations around the globe to develop a new parameterization that reduces the variability in IN concentrations at a given temperature from a factor of 1000 to 10. This improved parameterization is then incorporated into a global climate model, leading to significant changes in cloud liquid and ice water distributions compared to simpler, temperature-only parameterizations. The revised model predicts a global net cloud radiative forcing increase of approximately 1 W m\(^{-2}\) for each order of magnitude increase in IN concentrations, highlighting the sensitivity of climate simulations to assumptions about cloud glaciation initiation. The study emphasizes the importance of accurately representing IN in climate models to better understand the impacts of aerosols on cloud and precipitation processes.