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

Smith, P.J.; Beven, K.J.; Horsburgh, K. ORCID: https://orcid.org/0000-0003-4803-9919. 2013 Data-based mechanistic modelling of tidally affected river reaches for flood warning purposes: an example on the River Dee, UK. Quarterly Journal of the Royal Meteorological Society, 139 (671). 340-349. https://doi.org/10.1002/qj.1926

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Official URL: http://dx.doi.org/10.1002/qj.1926

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1002/qj.1926
ISSN:	00359009
Additional Keywords:	flood forecasting; tidal estuary; data assimilation
Date made live:	26 Mar 2013 15:56 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/500745

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1002/qj.1926

ISSN:

00359009

Additional Keywords:

flood forecasting; tidal estuary; data assimilation

Date made live:

26 Mar 2013 15:56 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/500745