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<p>As one of the dominant sinks of aerosol particles, wet scavenging greatly influences aerosol lifetime and interactions with clouds, precipitation, and radiation. However, wet scavenging remains highly uncertain in models, hindering accurate predictions of aerosol spatiotemporal distributions and downstream interactions. In this study, we present a flexible, computationally inexpensive method to identify meteorological variables relevant for estimating wet scavenging using a combination of aircraft, satellite, and reanalysis data augmented by trajectory modeling to account for air mass history. We assess the capabilities of an array of meteorological variables to predict the transport efficiency of black carbon (TE<span class="inline-formula">_BC</span>) using a combination of nonlinear regression, curve fitting, and <span class="inline-formula"><i>k</i></span>-fold cross-validation. We find that accumulated precipitation along trajectories (APT) – treated as a wet scavenging indicator across multiple studies – does poorly when predicting TE<span class="inline-formula">_BC</span>. Among different precipitation characteristics (amount, frequency, intensity), precipitation intensity was the most effective at estimating TE<span class="inline-formula">_BC</span> but required longer trajectories (<span class="inline-formula">&gt;48</span> h) and including only intensely precipitating grid cells. This points to the contribution of intense precipitation to aerosol scavenging and the importance of accounting for air mass history. Predictors that were most able to predict TE<span class="inline-formula">_BC</span> were related to the distribution of relative humidity (RH) or the frequency of humid conditions along trajectories, suggesting that RH is a more robust way to estimate TE<span class="inline-formula">_BC</span> than APT. We recommend the following alternatives to APT when estimating aerosol scavenging: (1) the 90th percentile of RH along trajectories, (2) the fraction of hours along trajectories with either water vapor mixing ratios <span class="inline-formula">&gt;15</span> g kg<span class="inline-formula">⁻¹</span> or RH <span class="inline-formula">&gt;95</span> %, and (3) precipitation intensity along trajectories at least 48 h along and filtered for grid cells with precipitation <span class="inline-formula">&gt;0.2</span> mm h<span class="inline-formula">⁻¹</span>. Future scavenging parameterizations should consider these meteorological variables along air mass histories. This method can be repeated for different regions to identify region-specific factors influencing wet scavenging.</p>