Heavy precipitation and associated floods from tropical cyclones (TCs) have caused enormous damages to the economy and human health (Bell et al., 2018;Rappaport, 2014;Rappaport & Blanchard, 2016). Globally, TCs have resulted in US$23 billion of economic damages (adjusted to current value) and more than 9,500 fatalities per year over the past half a century (CRED, 2021), with excessive precipitation as one of the leading causes (Bakkensen et al., 2018;Bell et al., 2018). Among the 2,544 lives in the US claimed by Atlantic TCs over 1963-2012, about a quarter of the fatalities was attributed to TC precipitation (TCP)-induced floods and mudslides (Rappaport, 2014). Moreover, extreme precipitation (>750 mm) from Hurricane Harvey in 2017 caused unprecedented flooding over the greater Houston area, making the hurricane one of the costliest disasters (US$131 billion) in US history (NOAA National Centers for Environmental Information, 2021). Future climate change may double the economic damages of TCs by 2100 primarily through increased TC intensity, storm surge, and precipitation rate (Knutson et al., 2020;Mendelsohn et al., 2012;Patricola & Wehner, 2018). Therefore, it is imperative to accurately predict TCP and assess the risk with changing TCP.