FREE - Round 1 - Local flood forecasting capability for fluvial and estuarine floods: Use of GridStix for constraining uncertainty in predictive models Project


* Introduction

This project aims to make use of lots of networked GridStix depth sensors to improve predictions of flood inundation and water level elevation at important locations with a view to improving flood warning capabilities. The project involves improving the software that links the sensors and distributed computing resources. This will allow distributed hydraulic routing models to be run, with the possibility of reducing the uncertainty in their predictions by using the sensor information in real-time. Since the GridStix also have on-board computing capabilities there is also a possibility of building a cheap local forecasting system for specific points at risk of flooding. The science questions involved include how best to make the netwroking robust, how best to constrain the uncertainty in flood routing models and improve their predictions, and how best to implement the local flood forecasting models. The research will be implemented on the River Ribble, subject to regular fluvial flooding, and the tidal system of the River Dee Estuary. The research represents a collaboration between Lancaster and Bristol Universities, the Proudman Oceanographic Laboratory and the Environment Agency.

Project Duration: October 2007 - October 2009.

This project is funded by NERC - Grant Ref. NE/E002439/1 - through the Flood Risk for Etreme Events (FREE) NERC directed mode programme.

* Availability of data

This project aims to develop and improve models that predict flood inundation and water elevation level which will include incorporating data from a network of GridStix sensors that measure river depth in real time.

GridStix are an instrument developed by the Lancaster team that record a time-series of depths every 15 minutes. This data is currently stored in plain ASCII format at Lancaster but not in a NERC data centre. Past and present data from GridStix will be archived at CEH and advice on formatting into a standard supported format will be offered by BADC. This data would then also be available to the wider community.

Other data for the Ribble and Dee areas were collated for use during this project including airborne LiDAR from the Environment Agency (for data requests see Environment Agency Geomatics Group pages, sonar bathymetry, river and tidal gauges, flood defence assets, ordinance maps and satellite images (Synthetic Aperture Radar Imagery from ESA). This data, collected from the Environment Agency, Proudman Oceanographic Laboratory (POL) and the NERC ARSF aircraft will be archived at BADC and BODC as appropriate where permitted by the data supplier. Relevant references describing collated data from variety of sources assembled for Ribles and Dee sites are available in the "Links and references" section below.

* Access to data and information

The data from this project will be stored at the NERC Centre for Ecology and Hydrology (CEH) and BADC and BODC as appropriate. Links to all the data collected will be available here.

A copy of the metadata will be stored in the BADC FREE Coastlines project archive.

Access to FREE data held at the BADC will be restricted to the FREE participants during a restricted access period ending two years after the end date of each project. Data will be made publicly accessible after that date.

If you are a FREE participant and wish to access restricted FREE data, please

* Instructions for data providers

FREE participants wishing to submit data should read the submission instructions. If you have publications arising from FREE research please send details [title, author(s), reference] to the BADC help desk for inclusion in the archive.

* Links and references

Links

References

* Who to contact

This FREE project is headed by Prof Keith Beven of Lancaster University, with co-investigators at Lancaster University, the Proudman Oceanographic Laboratory and the University of Bristol.

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