The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …

In accordance with the rapid proliferation of machine learning (ML) and data management,
ML applications have evolved to encompass all engineering disciplines. Owing to the …

With recent developments in computational techniques, Data-driven Machine Learning
Models (DMLs) have shown great potential in simulating streamflow and capturing the …

Precise long-term streamflow prediction has always been important in the hydrology field,
and has provided essential information for efficient water-resource management and …

The current study presents the first attempt to investigate the November 2019 catastrophic
flash flood in Olympiada (North Greece) under an operational forecasting and monitoring …

Abstract The National Weather Service (NWS) Office of Water Prediction (OWP), in
conjunction with the National Center for Atmospheric Research and the NWS National …

We adapted the WRF‐Hydro modelling system to Hurricane Florence (2018) and performed
a series of diagnostic experiments to assess the influence of initial soil moisture and …

It is well accepted that summer precipitation can be altered by soil moisture condition.
Coupled land surface–atmospheric models have been routinely used to quantify soil …

Flash floods are among the most dangerous natural disasters. As climate change and
urbanization advance, an increasing number of people are at risk of flash floods. The …

Many recent studies indicate climate change as a phenomenon that significantly alters the
water cycle in different regions worldwide, also implying new challenges in water resource …