Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

There is great potential in Data Assimilation (DA) for the purposes of uncertainty
identification, reduction and real-time correction of hydrological models. This paper reviews …

The skill of hydrologic models, such as those used in operational flood prediction, is
currently restricted by the availability of flow gauges and by the quality of the streamflow data …

The transferability of conceptual hydrologic models in time is often limited by both their
structural deficiencies and adopted parameterizations. Adopting a stationary set of model …

This study investigates the applicability of Satellite Precipitation Products (SPPs) in near real-
time for the simulation of sub-daily runoff in the Vilcanota River basin, located in the …

Groundwater head and stream discharge is assimilated using the ensemble transform
Kalman filter in an integrated hydrological model with the aim of studying the relationship …

This research utilized in situ soil moisture observations in a coupled grid Soil and Water
Assessment Tool (SWAT) and Parallel Data Assimilation Framework (PDAF) data …

Non-stationarity represents one of the major challenges facing hydrologists. There exists a
need to develop modelling systems that are capable of accounting for potential catchment …

As a non-structural river basin management option, development of a reliable inflow
forecasting system using the hydrological models is essential to aid in real-time reservoir …

In this study, a copula‐based particle filter (CopPF) approach was developed for sequential
hydrological data assimilation by considering parameter correlation structures. In CopPF …