“…From an engineering perspective for example, these uncertainties play a central role in the real-time probabilistic seismic hazard analysis framework that can be used to determine whether issuing an EEW alarm would reduce the losses associated with an incoming event (Iervolino, 2011). Our work therefore represents a significant advancement over many previous studies of context-specific EEW accuracy (e.g., Hsu et al, 2018;Xu et al, 2017;Kodera et al, 2016;Böse et al, 2012;Colombelli et al, 2012;Hsu et al, 2016;Böse et al, 2012;Colombelli et al, 2015;Hoshiba and Aoki, 2015;Böse et al, 2014;Doi, 2011;Hartog et al, 2016;Mittal et al, 2019;Chen et al, 2019;Chung et al, 2020;Minson et al, 2020;Zollo et al, 2009;Cochran et al, 2018;Festa et al, 2018;Auclair et al, 2015) -including those that examine Virtual Seismologist (Behr et al, 2016) and PRESTo -which focus exclusively on the performance of point-estimate predictions (i.e., that only consider mean or modal values of the estimates rather than their probability distributions) from EEW algorithms. Some work has examined uncertainty propagation for EEW (i.e., the effect of uncertain source-parameter estimates on the final ground-shaking predictions), but this has so far been limited to the context of hypothetical algorithms (Meier, 2017), simplistic simulated events (Iervolino et al, 2009), or empirical error models of parameter estimates (Brown et al, 2011).…”