We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

A comprehensive, modular Python automation system for HEC-RAS flood analysis workflows. This professional-grade tool demonstrates advanced hydraulic modeling capabilities, Python integration, and ...

Abstract: Meteorological models reliably predict precipitation today, but forecasting flood consequences is challenging due to diverse terrains. Hydrological models, often physical-based, accurately ...

Abstract: Mountain flood water levels exhibit high variability and complexity, making them challenging to predict, and gathering long-term data of disaster-causing factors is difficult in small ...

Howden Re, working with Howden Iberia, has been selected to provide natural catastrophe modelling services for Consorcio de Compensación de Seguros, Spain’s state-managed insurance pool for ...

We live in a golden age of magical thinking, and I’m not just talking about the trillions being burned on artificial intelligence. When it comes to our rapidly heating planet and its effects on our ...