Home > Research > Publications & Outputs > Data-based mechanistic modelling of tidally aff...
View graph of relations

Data-based mechanistic modelling of tidally affected river reaches for flood warning purposes: an example on the River Dee, UK

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>01/2013
<mark>Journal</mark>Quarterly Journal of the Royal Meteorological Society
Issue number671
Number of pages10
Pages (from-to)340-349
Publication StatusPublished
Early online date5/04/12
<mark>Original language</mark>English


This article discusses a coupled water level forecasting system constructed for the River Dee (UK) using parsimonious, physically interpretable, time series models. Tidal forecasts, provided by a simple harmonic model, and observed water levels at the upstream boundary are used to drive a nonlinear hydrological model which forecasts water levels at three gauged sites on the flood plain. The assimilation of observed data and use of the model for real-time forecasting is presented. The results generated indicate that the forecasts of river water can be both timely and accurate except close to the tidal boundary where the the tide is affected by the weir at Chester.