Agenda
All times are given in British Summer Time (UTC+01:00).
Tuesday 22nd September
| 14:00 - 14:30 | Hackathon introduction |
|---|---|
| 14:30 - 18:00 | Guided hackathon time |
Wednesday 23rd September
| 09:00 - 09:30 | Welcome |
|---|---|
| 09:30 - 10:00 | Machine Learning For Weather Predictions Peter Dueben |
| 10:00 - 10:30 | U-Net For Learning And Inference Of Dense Representation Of Multiple Air Pollutants From Satellite Imagery Jacquelyn Shelton |
| 10:30 - 10:45 | Break |
| 10:45 - 11:15 |
Spatio-temporal evolution of global surface temperature distributions |
| 11:15 - 12:15 | Poster session 1 |
| 12:15 - 13:15 | Lunch |
| 13:15 - 13:45 | Welcome (US) |
| 13:45 - 14:30 | Keynote: Scaling Neural Weather Models Nal Kalchbrenner (Google Brain) |
| 14:30 - 14:45 |
Break |
| 14:45 - 15:15 | Variational Target Encoding for Integrating Climate Models Trevor A Harris |
| 15:15 - 15:30 | Break |
| 15:30 - 16:15 | Keynote: Earth Observation Data Science Meets Climate Xiaoxiang Zhu (DLR; Technical University of Munich) |
| 16:15 - 16:30 |
Break |
| 16:30 - 17:15 | Keynote: How to handle irregularly-sampled data in large stochastic latent-variable models David Duvenaud (University of Toronto) |
| 17:15 - 17:45 | Hackathon mini-meet |
| 17:45 - 19:00 | Break |
| 19:00 - 20:00 | Social Event |
| 20:00 - | Videos of today's talks available for all registrants |
Thursday 24th September
| 09:15 - 09:30 | Welcome discussion |
|---|---|
| 09:30 - 10:00 | Detecting compound climate drivers of extreme impacts with machine learning Aris Marcolongo |
| 10:00 - 10:30 | Forecast opportunities for European summer climate ensemble predictions using Self-Organising Maps Julianna Carvalho Oliveira |
| 10:30 - 10:45 | Break |
| 10:45 - 11:15 |
Making detection and attribution robust to multi-decadal internal variability through statistical learning based robustness constraints |
| 11:15 - 12:15 | Poster session 2 |
| 12:15 - 13:15 | Lunch |
| 13:15 - 13:45 | ClimAlign: Unsupervised Statistical Downscaling of Climate Variables via Normalizing Flows Brian Groenke |
| 13:45 - 14:15 | Detection and attribution of reduced satellite-observed aerosol loading to COVID-19 with machine learning Hendrik Andersen |
| 14:15 - 14:45 |
Break |
| 14:45 - 15:15 | Elucidating Ecological Complexity: Unsupervised Learning determines global marine eco-provinces Maike Sonnewald |
| 15:15 - 15:30 | Break |
| 15:30 - 16:15 | Keynote: Climate informatics in a changing climate Karen McKinnon (University California, Los Angeles) |
| 16:15 - 16:30 |
Break |
| 16:30 - 17:15 | Keynote: Machine learning as a tool for climate predictability studies Balu Nadiga (Los Alamos) |
| 17:15 - 17:45 | Hackathon mini-meet |
| 17:45 - 19:00 | Break |
| 19:00 - 20:00 | Poster session 3 |
| 20:00 - | Videos of today's talks available for all registrants |
Friday 25th September
| 09:15 - 09:45 | Inversion of the vertical distribution of phytoplankton pigments from satellite data using machine learning Agathe Puissant |
|---|---|
| 09:45 - 10:30 | Keynote Big outstanding climate science questions for ClimateInformatics Myles Allen (University of Oxford) |
| 10:30 - 10:45 | Break |
| 10:45 - 11:15 |
Reconstructing regime-dependent causal relationships from observational time series |
| 11:15 - 12:15 | Poster session 4 |
| 12:15 - 13:15 | Lunch |
| 13:15 - 13:45 |
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence Ashesh K Chattopadhyay |
| 13:45 - 14:15 | Creating a blended surface temperature dataset with satellite thermal data and in situ measurements for the Tibetan Plateau Yuhan Rao |
| 14:15 - 14:30 |
Closing remarks |
| 14:30 - 16:00 | Hackathon wrap-up |
