The impact of cloud seeding on precipitation was simulated with a high-resolution (1-km grid length) ensemble modeling approach in order to estimate model uncertainty associated with natural and seeded clouds and precipitation. The ensemble configuration consisted of 36 members (12 control members + 24 seeded members), with stratifications by 1) large-scale forcing, 2) planetary boundary-layer scheme, 3) background cloud condensation nuclei concentrations, and 4) AgI activation rate and scavenging values within WRF-WxMod. This presentation will highlight key findings regarding impacts of aerial cloud seeding on precipitation over the 2019-2020 season, with a focus on using flight-level and ground-based observations to quantify additional precipitation provided by cloud seeding; associated cost effectiveness calculations will also be provided. A companion paper (Dougherty et al.) will present results focusing on simulating the impacts on streamflow in basins over the experiment area using WRF-Hydro.
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