Radarnet IV: improving radar rainfall rate data through better algorithms

This project improved the accuracy of Met Office data on where and how much heavy rain will fall to make forecasting floods easier.

From:
Flood and Coastal Erosion Risk Management Research and Development Programme and Environment Agency
Published
18 February 2021
Category:
Managing flood incidents
Topics:
Big data, Climate change, Communicating risk, Emergency planning and Flood forecasting
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Meteorology, Modelling, Monitoring and detection, and Surface water
Project status:
Completed
Project code:
SC060033
Date of completion:
30 November 2009

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Details

皇冠体育app Met Office weather radar network measures the rate at which precipitation (rain, snow or hail) falls over an area of the British Isles and surrounding waters. 皇冠体育app data gathered from these radars are used by weather and flood forecasters to assess where and how severely heavy rain will fall and to predict flooding.

皇冠体育app Radarnet IV algorithm development project aimed to improve the quality of the radar rainfall rate data. This could be done by upgrading the way in which the radar rainfall rate is estimated. This means it鈥檚 easier to make accurate estimates of where and when flooding might happen.

皇冠体育app improvements have been built into existing flood forecasting systems used by Environment Agency people, with no extra training required.

This project started in 2006 and was completed in 2009.

Updates to this page

Published 18 February 2021
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