Nowadays, mathematical models of hydrological systems are used routinely to guide
decision making in diverse subjects, such as: environmental and risk assessments, design …

▪ Abstract Soil moisture is spatially and temporally highly variable, and it influences a range
of environmental processes in a nonlinear manner. This leads to scale effects that need to …

Incomplete representations of physical processes often lead to structural errors in process-
based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow …

Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …

Operational flood management and warning requires the delivery of timely and accurate
forecasts. The use of distributed and physically based forecasting models can provide …

The new watershed model SWIM was developed in order to provide a comprehensive GIS-
based tool for hydrological and water quality modelling in mesoscale watersheds (from 100 …

Hydrologic modeling has become an essential tool in watershed management, with two
fundamental roles. The first role is to improve our understanding of the physical, chemical …

This paper presents an overview of the 'downward approach'to hydrologic prediction and
attempts to provide a context for the papers appearing in this special issue. The downward …

A critique of the Freeze and Harlan blueprint for a distributed physically based hydrological
model leads to the conclusion that it will be abandoned. An alternative blueprint as a …

The distributed model intercomparison project (DMIP) was formulated as a broad
comparison of many distributed models amongst themselves and to a lumped model used …