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.

• O’Riordan, E.; Ueno, R.; Hosking, S. and Rio, M., Using convolutional neural processes to produce high-resolution weather datasets over New Zealand, poster presentation at the Tackling Climate Change with Machine Learning Workshop at Neural Information Processing Systems, Vancouver, Canada, 15 December 2024.
  (click here to view the poster)

• Naylor, W.; O’Riordan, E.; Bodeker, G.E.; Pearson, G. and Xu, L., QPEnet: Using stacked deep learning models to produce accurate historical precipitation records over New Zealand, poster presentation at the American Geophysical Union Fall Conference, Washington D.C., USA,13 December 2024.
  (click here to view the poster)

• Xu, L.; O’Riordan, E.; Bodeker, G.E. and Naylor, W., Duplexity: A Python package for weather forecast validation, poster presentation at the American Geophysical Union Fall Conference, Washington D.C., USA, 12 December 2024.
  (click here to view the poster)

• O’Riordan, E.; Bird, L.J.; Bodeker, G.E.; et al., DeepWeather: Two-Way Coupling of an Observation-Enhanced AI Model with an NWP Model to Improve Weather Forecasting in Aotearoa New Zealand, poster presentation at the American Geophysical Union Fall Conference, Washington D.C.,  USA, 11 December 2024.
  (click here to view the poster)

• Naylor, W.; O’Riordan, E.; Bodeker, G.E.; Pearson, G. and Xu, L.,QPEnet: Using stacked deep learning models to produce accurate historical precipitation records over New Zealand, poster presentation at the New Zealand Meteorological Society Conference, Auckland, 18 November 2024.
  (click here to view the poster)

• Bodeker, G.; O’Riordan, E.; Pearson, G.; Warmenhoven, T. and Schwarz, M., An overview of the DeepWeather project, presented at the New Zealand Meteorological Society Conference, Auckland, 18 November 2024.

(click here to view the presentation)

• O’Riordan, E.; Bodeker, G.E.; Bird, L.J.; Pearson, G. and Schwarz, M., DeepWeather: Two-way coupling of an observation-enhanced probabilistic AI model with WRF to Improve operational weather forecasting in New Zealand, presented at the New Zealand Meteorological Society Conference, Auckland, 18 November 2024.
  (click here to view the presentation)

• 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.
  (click here to view the presentation)

• 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.
  (click here to view the presentation)

• 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.
  (click here to view the presentation)

• 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  New Zealand Meteorological Society Conference, Wellington, 21 November, 2023.
  (click here to view the presentation)

• 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. (click here to view the presentation)