We present a process-based, bivariate examination of PA sensitivity to environmental temperature/moisture and baroclinicity using the Weather Research and Forecasting model in an idealized channel configuration, isolating environmental variables that mirror increasing global temperatures and Arctic amplification. This approach reveals potential interactions between the two variables of interest, and more directly addresses situations in which the existing literature describes competing influences on PAs. Indeed, this is the case with Arctic amplification, wherein a weaker jet stream results in slower propagation speeds (increasing PA activity) and less baroclinic activity (decreasing PA activity by reducing atmospheric variance) – leaving the overall theoretical result unclear. Turning to idealized modeling for more clarity, we first characterize the mean flow in our simulations, before analyzing the sensitivity response of PA frequency, strength, and duration. Using a PA identification algorithm with a constant height anomaly threshold we find that an increase in temperature results in stronger PAs. Finally, we compare the isolated and combined responses of PAs to both temperature and baroclinicity, thus learning more about the underlying dynamics of how climate change may influence PA activity.