This introduction to the second annual review issue of Hydrological Processes tries to put the collection of papers on preferential flows and travel time distributions into a more general context of testing models as hypotheses about how catchment systems function. It is suggested that, because of the possibilities of non-stationary and epistemic errors in both data and models, such tests could be carried out within a rejectionist limits-of-acceptability framework. The principles and difficulties of hypothesis testing within these particular research areas are discussed. An important point to take from this discussion is that the use of a formal testing framework, and the consequent rejection of models as hypotheses after allowing for uncer...
We propose a mathematical framework for the general definition and computation of travel time distri...
All over the world, hydrological models at the basin scale have been extensively used to understand ...
The standard means of establishing predictive ability in hydrological models is by finding how well ...
This paper reviews the issues involved in treating hydrology as an example of an inexact science fac...
Small basins are well suited to testing models as hypotheses about the function of the basin system,...
Part 1 of this study discussed the concept of using a form of Turing-like Test for model evaluation,...
Research Doctorate - Doctor of Philosophy (PhD)During the latter part of the 1980s there was some de...
The basic structure of the scientific method—at least in its idealized form—is widely championed as ...
Ambiguities in the representation of environmental processes have manifested themselves in a plethor...
Six steps can be distinguished in the process of hydrological modelling: the perceptual model (decid...
This paper is based on the 2012 Penman Lecture delivered at the 11th National Symposium of the Briti...
There remains a great deal of uncertainty about uncertainty estimation in hydrological modelling. Gi...
Many watershed models used within the hydrologic research community assume (by default) stationary c...
The use of flexible hydrological model structures for hypothesis testing requires an objective and d...
To ensure reliable results of hydrological models, it is essential that the models reproduce the hyd...
We propose a mathematical framework for the general definition and computation of travel time distri...
All over the world, hydrological models at the basin scale have been extensively used to understand ...
The standard means of establishing predictive ability in hydrological models is by finding how well ...
This paper reviews the issues involved in treating hydrology as an example of an inexact science fac...
Small basins are well suited to testing models as hypotheses about the function of the basin system,...
Part 1 of this study discussed the concept of using a form of Turing-like Test for model evaluation,...
Research Doctorate - Doctor of Philosophy (PhD)During the latter part of the 1980s there was some de...
The basic structure of the scientific method—at least in its idealized form—is widely championed as ...
Ambiguities in the representation of environmental processes have manifested themselves in a plethor...
Six steps can be distinguished in the process of hydrological modelling: the perceptual model (decid...
This paper is based on the 2012 Penman Lecture delivered at the 11th National Symposium of the Briti...
There remains a great deal of uncertainty about uncertainty estimation in hydrological modelling. Gi...
Many watershed models used within the hydrologic research community assume (by default) stationary c...
The use of flexible hydrological model structures for hypothesis testing requires an objective and d...
To ensure reliable results of hydrological models, it is essential that the models reproduce the hyd...
We propose a mathematical framework for the general definition and computation of travel time distri...
All over the world, hydrological models at the basin scale have been extensively used to understand ...
The standard means of establishing predictive ability in hydrological models is by finding how well ...