Understanding the drivers behind urban floods is critical for reducing its devastating impacts
to human and society. This study investigates the impacts of recent urban development on …

African society is particularly vulnerable to climate change. The representation of convection
in climate models has so far restricted our ability to accurately simulate African weather …

The aim of this paper is to explore how rainfall mechanisms and catchment characteristics
shape the relationship between rainfall and flood probabilities. We propose a new approach …

An accurate and rapid urban flood prediction model is essential to support decision-making
for flood management. This study developed a deep-learning-technique-based data-driven …

Core Ideas AMMA‐CATCH is a long‐term critical zone observatory in West Africa. Four sites
sample the sharp ecoclimatic gradient characteristic of this region. Combined …

Using potentially best available rainfall data sets for the entire country of Japan (spatial
scales of 1‐and 20‐km), we analyze the 1–24 hr and city‐scale (1–400 km2) extreme …

Urbanization resulting from sharply increasing demographic pressure and infrastructure
development has made the populations of many tropical areas more vulnerable to extreme …

Abstract Intensity‐duration‐frequency (IDF) curves are useful in water resources
engineering for the planning and design of hydrological structures. As opposed to the …

Global warming is expected to produce modifications in the intensity, as well as in the
seasonality and spatiotemporal structure of extreme precipitation. In the present study, the …

Extreme precipitation is highly variable in space and time. It is therefore important to
characterize precipitation intensity distributions on several temporal and spatial scales. This …