Rain-on-snow events are often associated with downstream flooding (Marks et al., 1998) where precipitation duration and intensity and snowpack structure affect runoff rates (Würzer et al., 2016). Rain-on-snow events can also induce gravitational mass movements like avalanches and landslides, posing risks to people and infrastructure in alpine regions (Badoux et al., 2016;Dowling & Santi, 2013;Techel et al., 2016). Event documentation is necessary to gain knowledge of the mechanics involved in triggers and flow conditions and to build empirical evidence to underpin hazard probabilities (Bründl & Margreth, 2021). At the same time, dynamic models are useful for performing extreme-event scenarios in support of hazard planning and preparedness (Bühler et al., 2022). Model outputs (e.g., impact pressure, flow height) can help refine design specifications for structures that mitigate risks to people and infrastructure (Rudolf-Miklau et al., 2014). Detailed event documentation is necessary to calibrate dynamic models prior to hazard scenario-planning (Christen et al., 2010).We document a sequence of mass movements (snow avalanches, debris flow, water runoff) in an avalanche path in the Southern Alps of New Zealand (NZ). Intense precipitation rates during the 18-19 July 2022 storm triggered a widespread avalanche cycle with avalanches reaching the valley floor in numerous paths (Figure 1b). This exceptional rain-on-snow induced avalanche cycle was followed by relatively small debris flows that overran snow avalanche deposition in several paths before both were eroded by rain runoff. We use the dynamic