Machine learning for climate systems

April 2, 2020 — September 25, 2023

dynamical systems
Hilbert space
how do science
machine learning
neural nets
signal processing
stochastic processes
time series
Figure 1

How to model the world with data-hungry methods. How to think our way out of climate crisis.

1 ML for climate simulation

  • Climate Informatics

    Climate Informatics is an open community interested in research combining climate science with approaches from statistics, machine learning and data mining. Through the annual conference series and through this community website we hope to stimulate discussion of new ideas, foster new collaborations, grow the community, and thus accelerate discovery across disciplinary boundaries.

2 ML for climate drivers

  • ESA - Trio of Sentinel satellites map methane super-emitters

    In a recent paper published in Remote Sensing of Environment (Schuit et al. 2023), researchers from SRON found that the Sentinel-3 satellites can retrieve methane enhancements from its shortwave infrared band measurements. Impressively, it can detect the largest methane leaks of at least 10 tonnes per hour, depending on factors like location and wind conditions, every single day.

    See also Pandey et al. (2023).

3 ML for climate solutions

Jeff Dean’s NeurIPS 2019 talk suggests ideas. His talk is an advertisement for tensorflow probability as a solution for machine learning for physics simulations for making nuclear fusion feasible etc.

4 Incoming

5 References

Australian Information Industry Association. 2023. Tech and Sustainability.”
Nguyen, Brandstetter, Kapoor, et al. 2023. ClimaX: A Foundation Model for Weather and Climate.”
Pandey, van Nistelrooij, Maasakkers, et al. 2023. Daily Detection and Quantification of Methane Leaks Using Sentinel-3: A Tiered Satellite Observation Approach with Sentinel-2 and Sentinel-5p.” Remote Sensing of Environment.
Rolnick, Donti, Kaack, et al. 2019. Tackling Climate Change with Machine Learning.” arXiv:1906.05433 [Cs, Stat].
Schiermeier. 2018. Droughts, Heatwaves and Floods: How to Tell When Climate Change Is to Blame.” Nature.
Schuit, Maasakkers, Bijl, et al. 2023. Automated detection and monitoring of methane super-emitters using satellite data.” Atmospheric Chemistry and Physics.