“…Owing to the continuous accumulation of high-quality wave and particle measurements from multiple satellite missions and the development of the state-of-art modeling, rapid progress has been made in radiation belt electron forecasting using frontier methods, such as data assimilation, machine learning, and ensemble technique, in the past few decades (e.g., Camporeale, 2019;Camporeale et al, 2018Camporeale et al, , 2016Castillo Tibocha et al, 2021;Cervantes et al, 2020;Kellerman, 2018;Kellerman et al, 2014Kellerman et al, , 2013Morley et al, 2016;Myagkova et al, 2020;Saikin et al, 2021;Shprits et al, 2013;Smirnov et al, 2020). It is essential to understand how the errors in the model output can be apportioned to the uncertainties in the model input to enhance the model and forecast accuracy (e.g., Horne et al, 2021;Knipp et al, 2018;Morley, 2020). The current study investigates the impact on radiation belt simulations of uncertainties of an event-based wave and plasma models relying on measurements from Van Allen Probes within a limited spatiotemporal coverage during ∼6 days.…”