The focus of this session will be on bringing the expertise from different fields together as well as exploring differences, similarities, problems and solutions between forecasting systems for varying hazards including climate emergency. Real-world case studies of system implementations - configured at local, regional, national, continental and global scales - will be presented, including trans-boundary issues. An operational warning system can include, for example, monitoring of data, analysing data, making and visualizing forecasts, giving warning signals and suggesting early action and response measures.
Contributions are welcome from both scientists and practitioners who are involved in developing and using operational forecasting and/or management systems for climate and water-related hazards, such as flood, drought, tsunami, landslide, hurricane, hydropower, pollution etc. We also welcome contributions from early career practitioners and scientists.
14:00–14:05
5-minute convener introduction
Downscaling Hydrodynamic Outputs using Deep Learning for Operational Flood Inundation Forecasting
(withdrawn)
A cloud-based end-to-end Flood Early Warning System for Greater Wellington
(withdrawn)
14:35–15:45
Interactive presentations at PICO screens