This article reviews the literature on the financial sector impacts of natural disasters and
physical climate change risks, covering banking, insurance, stock markets, bond markets …

Current flood risk mapping, relying on historical observations, fails to account for increasing
threat under climate change. Incorporating recent developments in inundation modelling …

This study reports a new and significantly enhanced analysis of US flood hazard at 30 m
spatial resolution. Specific improvements include updated hydrography data, new methods …

In this study, a convolutional neural network (CNN)-based approach is proposed to assess
flood susceptibility for urban catchment. Nine explanatory factors covering precipitation …

Floodplains provide critical ecosystem services; however, loss of natural floodplain functions
caused by human alterations increase flood risks and lead to massive loss of life and …

We present a transparent and validated climate-conditioned catastrophe flood model for the
UK, that simulates pluvial, fluvial and coastal flood risks at 1 arcsec spatial resolution (∼ 20 …

The flood risk assessment study is an important factor in order to identify the critical or high-
risk zone areas. This research intends to develop a flood risk index map of data-scare river …

Flood inundation modeling across large data sparse areas has been increasing in recent
years, driven by a desire to provide hazard information for a wider range of locations. The …

Floods often affect large regions and cause adverse societal impacts. Regional flood hazard
and risk assessments therefore require a realistic representation of spatial flood …

Floods in river deltas are driven by complex interactions between astronomical tides, sea
levels, storm surges, wind waves, rainfall‐runoff, and river discharge. Given the anticipated …