In the context of climate change and urban development, urban flooding issues are becoming more prevalent (Ford et al., 2019), highlighting the need for accurate flood mapping in these areas. Precise representation of terrain is of great significance for estimating flood risk (Sampson et al., 2015;Schumann & Bates, 2018;Yamazaki, Sato, et al., 2014) and although LIDAR surveys can provide high accuracy DEM data with vertical error of a few tens of centimeters, publicly available LIDAR data are limited to a handful of developed countries. Free-to-access spaceborne global DEMs (GDEMs) based on radar interferometry and photogrammetry are still the only viable data source for flood inundation simulation in many urban regions of the world. However, all such data sets are digital surface models (DSMs) in urban areas (Gamba et al., 2002) due to the reflection of radar and optical signals from ground objects such as buildings. As a
Kenya and the wider East African region suffer from significant flood risk, as illustrated by major losses of lives, livelihoods and assets in the most recent years. This is likely to increase in future as exposure rises and rainfall intensifies under climate change. Accordingly, flood risk management is a priority action area in Kenya's national climate change adaptation planning. Here, we outline the opportunities and challenges to improve end‐to‐end flood early warning systems, considering the scientific, technical and institutional/governance dimensions. We demonstrate improvements in rainfall forecasts, river flow, inundation and baseline flood risk information. Notably, East Africa is a ‘sweetspot’ for rainfall predictability at sub‐seasonal to seasonal timescales for extending forecast lead times beyond a few days and for ensemble flood forecasting. Further, we demonstrate coupled ensemble flow forecasting, new flood inundation simulation, vulnerability and exposure data to support Impact based Forecasting (IbF). We illustrate these advances in the case of fluvial and urban flooding and reflect on the potential for improved flood preparedness action. However, we note that, unlike for drought, there remains no national flood risk management framework in Kenya and there is need to enhance institutional capacities and arrangements to take full advantage of these scientific advances.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.