MIKE SHE is one of the most extensively used physically based distributed hydrological
models that are capable of credibly interpreting the response mechanism of ecohydrological …

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 …

Terrain attributes are the most widely used predictors in digital soil mapping. Nevertheless,
discussion of techniques for addressing scale issues and feature selection has been limited …

An Erratum has been published for this article in Hydrological Processes 18 (3) 2004, 595.
An overview is given on the predictive quality of spatially distributed runoff and erosion …

This paper presents key issues associated with uncertainty in flood inundation mapping.
Currently flood inundation extent is represented as a deterministic map without …

In this paper, the computer aided numerical method for hydrological model calibration is
reviewed. The content includes review of the watershed hydrological models (data-driven …

Process-based watershed models are useful tools for understanding the impacts of natural
and anthropogenic influences on water resources and for predicting water and solute fluxes …

In recent years, there has been an increase in the application of distributed, physically-
based and integrated hydrological models. Many questions regarding how to properly …

Hydrological model-related uncertainty is often ignored within climate change hydrological
impact assessments. A MIKE SHE model is developed for the Mekong using the same data …

Distributed hydrologic models typically incorporate topographic data through the use of
raster-based digital elevation models. The resampling of high-resolution grid data required …