Presentations

The DeepWeather team have given the below presentations. Please contact us if you'd like further details about any of the presentations, or would like us to present any of our work at your organisation.

• Naylor, W. and O’Riordan, E., The downscaling of ERA5 data to QPE using stacked neural networks, presented at MetService Tech Talks, Wellington, 1 August 2024.  

• O’Riordan, E., Ueno, R., Hosking, S., Using convolutional neural processes to generate high-resolution weather datasets over New Zealand, presented at Climate Informatics, London, 23 April 2024.

• O’Riordan, E., Bodeker, G.E.; Bird, L.; Pearson, G.; Schwarz, M.; Noble, C.; Hosking, S.; Bifet, A.; DeepWeather: Using deep learning to produce high-resolution weather forecasts over New Zealand, presented at eResearch NZ, Wellington, 7 February 2024.

• O’Riordan, E.; Bodeker, G.E.; Bird, L.; Pearson, G.; Schwarz, M.; Noble, C.; Hosking, S.; Bifet, A.; Warmenhoven, T. and Walters, S., DeepWeather: Using artificial intelligence to improve weather forecasts in New Zealand, poster presentation at the American Geophysical Union Fall Conference, San Francisco, 12 December 2023. (click here to view the poster)

• O’Riordan, E., Bodeker, G.E.; Bird, L.; Pearson, G.; Schwarz, M.; Noble, C.; Hosking, S.; Bifet, A., DeepWeather: Using artificial intelligence to improve weather forecasts in New Zealand, presented at the University of Cambridge Artificial Intelligence for Environmental Research seminar series, Cambridge, UK, 28 November 2023. 

• O’Riordan, E.,Bodeker, G.E.; Bird, L.; Pearson, G.; Schwarz, M.; Noble, C.; Hosking, S.; Bifet, A., Deep Weather: Using deep learning to produce high-resolution forecasts over New Zealand, oral presentation at the Annual Meteorological Society of New Zealand Conference, 21 November, 2023.

• O’Riordan, E., Bird, L.; Bodeker, G.E.; Pearson, G., Breaking the wall of extreme weather forecasting, presented at Falling Walls Lab New Zealand, Wellington, 5 September 2023.