Using artificial intelligence to improve weather forecasts
Mission of the project
Bad weather can be far more than just an inconvenience. In New Zealand, where primary production contributes $22.5B to our economy, bad weather can incur significant economic, environmental and social costs. Mitigating the impacts of severe weather largely depends on the quality and reliability of weather forecasts.
The most highly damaging extreme weather events (e.g. hail or intense rainfall) often occur over small areas, driving a need for higher-spatial-resolution forecasts. By solving the mathematical equations describing atmospheric processes, numerical weather prediction (NWP) models predict how the weather will change - this computationally demanding task requires supercomputers. Increasing the model resolution, so that they resolve local weather events, adds large financial costs.
We will apply artificial intelligence methods to develop a new way of generating weather forecasts, producing high-resolution forecasts at a fraction of current costs. A neural network (NN) will be trained to learn how to generate weather at hyperlocal scales (several 100m) given data from a lower resolution NWP model. While the initial training may be computationally expensive, once trained, the NN can be applied to any NWP forecast to fill in the missing detail inside each grid-cell, at negligible cost. This cost reduction means that we can generate higher resolution forecasts than are currently available, and process many more forecasts to produce probabilistic risk assessments of rare but highly damaging events.
If successful, our fused-NN-NWP model will be incorporated into MetService’s NWP chain, delivering new hyperlocal weather forecasts, enhancing the ability of emergency managers to save lives and protect property, and industries to manage risks and minimise losses. The need for such forecasts will only increase as the frequency and severity of extreme weather events increase under climate change.
Our team comprises organisations and individuals from New Zealand, the United Kingdom, and the United States of America. Learn more about the organisations involved in the research team and our team members.
This project has an end-user focus, so we're continuously looking for stakeholder feedback and guidance throughout the project to ensure we meet your needs. If high-resolution weather forecasts would be beneficial to you, we'd love to hear from you.
More updates to come...
Contact firstname.lastname@example.org to get more information on the project