Payment for Outcomes: visiting farms to determine possible sites for Natural Flood Management

iCASP is working on a project to integrate Natural Flood Management (NFM) into the National Trust’s ‘Payment for Outcomes’ trial. The Trust are undertaking the trial on some of their tenanted farms working with the Yorkshire Dales National Park Authority and Yorkshire Dales Rivers Trust. Their work will help to inform Defra’s new Environmental Land … Read more

Modelling to support optimal location of flood measures

This October is the 3rd anniversary of the Calderdale Flood Action Plan (FAP) . You can find out more about who is involved with delivering the plan, the various pieces of work being undertaken and get an idea of the costs and the benefits of work already carried out through infographics produced to highlight key … Read more

Improving forecasting for surface water flooding

With much of the map of England lit up with flood warnings and alerts this morning, this serves as a timely reminder about the importance of ongoing work into flood forecasting.   The recent iCASP project on Enhanced Surface Water Flood Forecasts (ESWFF) set out to try to enhance the forecasts that are issued to … Read more

Natural flood management in the media

This week has seen the 12th anniversary of the 2007 floods which impacted across swathes of the UK and affected villages, towns and cities across Yorkshire. It is timely to look at some of the measures put in place since then to alleviate flooding in the future. Natural flood management (NFM) has had some coverage … Read more

iCASP hosting Exercise Augustus – surface water flood forecasting and response workshop

This week iCASP hosted a workshop for a range of organisations across Yorkshire involved with flood preparedness and response, and national organisations responsible for producing flood forecasts and alerts. The workshop was run to test out how useful it could be to combine probabilistic rainfall forecasts (Met Office Global and Regional Ensemble Prediction System, MOGREPS) … Read more