The risk of natural disasters has increased over the last few decades, leading to significant
economic losses across the globe. In response, research related to the risk of economic loss …

Flash floods are largely driven by high rainfall rates in convective storms that are projected
to increase in frequency and intensity in a warmer climate in the future. However, quantifying …

Improved quantification of extreme precipitation rates using observations has far-reaching
implications for environmental sciences, especially for hydrometeorological studies. Yet …

Hydrologic models are a powerful tool to predict water-related natural hazards. Of all
hydrologic models, CREST (Coupled Routing and Excess STorage) was developed to …

Floods in the US exhibit strong spatiotemporal variability, mainly controlled by precipitation
types and catchment attributes. In a future warmer climate, it remains largely unclear how …

Long-term streamflow observations contain essential information for understanding
hydrological changes and managing water resources. A continental-scale dataset or …

Societies throughout the world are experiencing more severe and frequent flooding with
consequences for peopleʼs livelihoods, health, safety, and heritage. Much flood risk …

Structural hydrologic connections, formed by the coaction of tectonic and climatic processes,
facilitate the transfer of matter across Earth's surface. Large‐scale analysis of hillslope …

Abstract Coupled Hydrologic & Hydraulic (H&H) models have been widely applied for flood
simulations, yet the modern H&H models suffer from one-way and weak coupling and …

Flash flooding is a damaging weather event, yet it remains challenging to quantify its
severity. We propose a development—the Flashiness‐Intensity‐Duration‐Frequency (F‐IDF) …