“…Statistical methods are routinely used to investigate possible compound mechanisms by examining statistical dependence between proxy variables of different flood types regionally or globally, such as rainfall and storm surge (Lai et al., 2021; Sanuy et al., 2021; Zellou & Rahali, 2019; Zheng et al., 2014), river flow and storm surge (Couasnon et al., 2020; Nasr et al., 2021b), and river flow and sea level (Ghanbari et al., 2021; Piecuch et al., 2018; Ward et al., 2018). Numerical models are widely applied to simulate tide, storm surge, river flow, and their nonlinear interactions on coastal inundation dynamics locally, for example, in Mississippi Delta (Bunya et al., 2010), Ganges‐Brahmaputra‐Meghna Delta (Ikeuchi et al., 2017), Lee River Delta (Olbert et al., 2017), Shoalhaven Delta (Kumbier et al., 2018), Pearl River Delta (PRD) (De Dominicis et al., 2020), Humber and Dyfi Delta (Harrison et al., 2021), Breede Delta (Kupfer et al., 2021), and Betanzos Delta (Bermúdez et al., 2021). To perform a robust and integrated assessment, intrinsic characteristics of statistical and numerical methods are suggested to be linked for representative compound flood hazard assessments (Moftakhari et al., 2019).…”