Evaluating and improving the Grid to Grid (G2G) model for flood forecasting in rapid response catchments

This project will enhance the capabilities of the Grid to Grid (G2G) flood forecasting model for operational use.

From:
Flood and Coastal Erosion Risk Management Research and Development Programme and Environment Agency
Published
1 March 2021
Category:
Increasing resilience to flooding
Topics:
Artificial intelligence, Big data, Flood forecasting, Flood warning, Machine learning, Meteorology, Modelling
Project status:
Ongoing
Project code:
SC110003
Date of start:
31 March 2011

Documents

The outputs of this project will be published once research is complete.

Details

The project will deliver an evaluation of G2G capability in forecasting for rapid response catchments. This can be used to inform the level of service that can be provided by G2G for operational use.

The project will look at the advantages of using ensemble rainfall forecasts as input to a distributed hydrological model to produce probabilistic flood forecasts in rapid response catchments. It’s developing examples of how the results of these ensemble forecasts can be visually presented in an intuitive way.

The expected completion date is winter 2023/24.

Updates to this page

Published 1 March 2021
Contents