This category contains the working group mailing list, information and activity reports.
Working group purpose
- To facilitate mutually-beneficial collaborations between climate/weather scientists and ML experts.
- To create a platform for knowledge exchange where ACCESS-NRI, NCI, the climate community and ML experts share insights, data, and methodologies to accelerate progress in both fields.
- To advise ACCESS-NRI, NCI and the climate community on advances in ML in climate/weather science and techniques and their impact on future directions in climate/weather research (e.g. modelling, resourcing etc.).
- To ensure that the Australian community remains at the forefront of the use of ML/AI in research and applications in weather and climate.
- To contribute to the training of climate/weather scientists in applying ML to their research (through organised events/ resource sharing).
Facilitators
Sanaa Hobeichi @Sanaa, co-chair
Ryan Holmes, @rmholmes, co-chair
Vassili Kitsios, @VassiliKitsios, co-chair
Tennessee Leeuwenburg, @Tennessee, co-chair
Micael Oliveira, @micael, ACCESS-NRI liaison
Join the working group
Please join the Machine Learning for Climate and Weather Working Group.
https://forum.access-hive.org.au/g/MLWG
Category organisation
This category contains all information directly pertinent to the Working Group:
- The “Announce” topic is used as a mailing list for the working group. Please “watch” this topic to receive all announcements via email.
- The “Introduce yourself” topic is used for people to quickly introduce themselves to the rest of the community