Flood forecasting (FF) is one the most challenging and difficult problems in hydrology.
However, it is also one of the most important problems in hydrology due to its critical …

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …

Floods result in substantial damage throughout the world every year. Accurate predictions of
floods can significantly alleviate casualties and property losses. However, due to the …

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 …

Complex mathematical and computational models are used in all areas of society and
technology and yet model based science is increasingly contested or refuted, especially …

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 …

Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …

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 …

Despite significant recent developments in computational power and distributed hydrologic
modeling, the issue of how to adequately address the uncertainty associated with …

Hydrologic models are twofold: models for understanding physical processes and models
for prediction. This study addresses the latter, which modelers use to predict, for example …