In the present study a total of 201 research articles from around the globe over the review
period from 2001 to 2021 are identified and investigated. The study has identified some of …

While some robust artificial intelligence (AI) techniques such as Gene-Expression
Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) …

At present continental to global scale flood forecasting predicts at a point discharge, with
little attention to detail and accuracy of local scale inundation predictions. Yet, inundation …

Large‐scale hydrological models are nowadays mostly calibrated using observed
discharge. As a result, a large part of the hydrological system, in particular the unsaturated …

This paper introduces and presents the Spatial Processes in HYdrology (SPHY) model (v2.
0), its development background, its underlying concepts, and some example applications …

This paper describes the design and use of a recursive ensemble Kalman filter (REnKF) to
assimilate streamflow data in an operational flow forecasting system of seven catchments in …

We examine the extent to which the parameters of different types of catchments are sensitive
to calibration criteria selection (ie parameter agreement), and explore possible connections …

Ensemble flood forecasts by hydrological models using numerical weather prediction
products as forcing data are becoming more commonly used in operational flood forecasting …

Flooding is governed by the amount and timing of water spilling out of channels and moving
across adjacent land, often with little warning. At global scales, flood hazard is typically …

Estimating the uncertainty of hydrological models remains a relevant challenge in applied
hydrology, mostly because it is not easy to parameterize the complex structure of …