This paper discusses the modelling of rainfall–flow (rainfall–run–off) and flow–routeing
processes in river systems within the context of real–time flood forecasting. It is argued that …

This essay discusses some of the issues involved in the identification and predictions of
hydrological models given some calibration data. The reasons for the incompleteness of …

This is a revised version of the 1984 book of the same name but considerably modified and
enlarged to accommodate the developments in recursive estimation and time series …

This paper describes in detail a flexible approach to nonstationary time series analysis
based on a Dynamic Harmonic Regression (DHR) model of the Unobserved Components …

A novel Bayesian paradigm for the identification of output error models has recently been
proposed in which, in place of postulating finite-dimensional models of the system transfer …

Although rainfall‐flow processes have received much attention in the hydrological literature,
the nature of the non‐linear processes involved in the relationship between rainfall and river …

While large models based on a deterministic-reductionist philosophy have an important part
to play in environmental research, it is advantageous to consider alternative modelling …

Emulation modelling is an effective way of overcoming the large computational burden
associated with the process-based models traditionally adopted by the environmental …

The data‐based mechanistic (DBM) approach to modelling has developed as a
stochastic,'top‐down'response to the problems associated with the deterministic,'bottom …

The paper presents a unified approach to the modelling, forecasting and control of natural
and man-made environmental systems. The modelling approach exploits the author's Data …