Projects

Filter by

This section showcases UKRI projects and Met Office work packages that are being conducted for the UK Climate Resilience Programme. Click on the tiles to find out more about individual projects/work packages or select from the quick list of project titles below.

Quick Project List

MOCA: Mobilising Citizens for Adaptation: building local flood resilience through cooperative rainwater harvesting Coastal resilience in the face of sea-level rise: making the most of natural systems Improving climate hazard information From climate hazard to climate risk Climate service pilots CROP-NET: Monitoring and predicting the effects of climate change on crop yields CREWS-UK: Characterising and adapting to climate risks in the UK wine sector Improving climate services ClimaCare: Climate Resilience of Care Settings DRAW-IT: Designing Resilient and Adaptable Water management – Integrated & Interactive Tools Climate Pig: Smart Systems Approaches for Climate Resilient Livestock Production FREEDOM-BCCR: Forecasting Risk of Environmental Exacerbation of Dissolved Organic Matter – Building Climate Change Resilience Delivering resilience to climate impacts on UK freshwater quality: towards national-scale cyanobacterial bloom monitoring and forecasting A prototype real-time sting jet precursor tool for forecasters Unlocking the potential of surface water flood nowcasting for emergency services in a changing climate Towards a microbial process-based understanding of the resilience of UK peatland systems RESIL-RISK: Understanding UK Perceptions of Climate Risk and Resilience IMPRES: Impacts and Risk Assessment to better inform Resilience Planning FUTURE-DRAINAGE: Ensemble climate change rainfall estimates for sustainable drainage FRANTIC: Financial risk and the impact of climate change Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient Climate Risk Indicators: developing indicators of climate risk using UKCP18 to support risk assessments and enhance resilience Building UK climate resilience through bridging the qualitative-quantitative data divide