Upscaling of basin-wide assessment of climate change risks and impacts to EU-level: step by step how to upscale to other basins

Climate change risk assessments are usually developed at the basin scale. But decisions at the EU level require consistent information across many basins at once, and rebuilding a dedicated model for every single one of them is simply not realistic. It’s too costly, and it takes too much time. This is where upscaling comes in. Machine learning models can learn the underlying dynamics in one well monitored basin and then be extended to other basins with reasonable confidence. This webinar walks you through, step by step, how to take a basin wide climate risk assessment and upscale it so it can support decisions at the EU level

Learning Objectives

• Train a base machine learning model on a single basin
• Learn approaches to upscale and transfer your machine learning model to new basins
• Evaluate your results

Target Audience

• Decisions makers, modelers, scientists ​

Keywords

Machine Learning model, model training, upscaling, water resources assessment

Related Resources

• Deliverable 3.4: Data-driven modelling tools for the STARS4Water river basins