Hi everyone, I have an idea for an ML emulator for the global ocean that I am hoping to develop and use with @rmholmes , @PSpence and @navidcy . I know @edoyango has some availability to help the community on ML applications like these, and I was wondering what the process is to apply for some help …

Hi Taimoor. Have you done a bit of literature review and identified the kind of model you might like to use? I believe there are some published results which might inform the kind of direction you could go from a model architecture perspective. Have you determined which data sets you want to use?

Hi Tennessee, Yes, I have done a bit of research in this space already - I know some groups have used ConvNEXT/UNet to produce emulators for the ocean, but I am interested in trying reinforcement learning algorithms. I know less about these, but I suspect RL could be better performing at long-term …

Hi @taimoorsohail , I think as a first step it would be really useful to organise a meeting, so that we can get a better understanding of your plans and what kind of support we could provide.

Applying to work with ACCESS-NRI on ML applications to Earth Systems

Machine Learning for Climate and Weather Working Group

taimoorsohail (Taimoor Sohail) 13 October 2025 06:10 5

Thanks @micael - will email you!

Machine Learning for Climate and Weather Working Group Announce

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How ACCESS-NRI could support ML/AI Forecasting and Prediction	1	224	1 May 2024
Machine Learning for Climate and Weather Working Group Announce Working Group mailinglist , working-group , wg-announce , wg-watch-ml	35	1199	2 July 2026
Samudra 2: 0.25 degree global ML ocean simulation Machine Learning for Climate and Weather machine-learning , ocean	3	44	3 July 2026
Joint Atmosphere X F&P meeting minutes on single column models 8th May 2024 Forecasting and Prediction	1	84	9 May 2024
Breakout Session 2: Emulation of climate model output using machine learning or other data driven approaches. Chair: Vassili Kitsios (CSIRO) ACCESS Workshop Day 2	3	76	9 September 2024

Applying to work with ACCESS-NRI on ML applications to Earth Systems

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