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
Federico Amato

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
Sebastian Sippel

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
Elena Saggioro

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