This is an online zoom workshop on Wednesday, 23 Oct 2024 followed by an exercise session focusing on Jupyter notebooks on 24 Oct 2024. In this workshop we are aiming to help existing climate and weather researchers to get hands-on experience of various SOTA (State-of-the-Art) deep learning models in Weather and Climate Studies. The aim of this workshop is to get an overview of the recent development of the field and let you try some of our examples and then start training your own climate/weather deep learning models for your own research.
Office Hour
Starting from 29 Oct 2024, as discussed in the workshop, we offer a fortnightly drop-in session on Tuesdays 1:00-2:00pm AEDT. If you want to discuss any of the models and datasets at NCI, or more broadly how to use them in your research, please join the session on the following date. No need to register in advance.
Scheduled Zoom session for 2024 [https://anu.zoom.us/j/87443993007?pwd=hCAp6aUsZ9zW9OPN6d5qUSSuwbKk6X.1]
- 29 October, 2024
- 12 November, 2024
- 26 November, 2024
- 10 December, 2024
Scheduled Zoom session for 2025 [https://anu.zoom.us/j/88928263598?pwd=mM17Lya7ayuXX6D97piPuNRoNNk8Ch.1]
- 7 January, 2025
- 21 January, 2025
- 4 February, 2025
- 18 February, 2025
- 4 March, 2025
- 18 March, 2025
- 1 April, 2025
- Further dates TBC
Please double check details on this page before joining the zoom session. Further date and time will be updated on this page.
In order to participate in the exercise session on the second day please check the prerequisites well in advance of the workshop.
Note: If you are not an existing NCI user, then you will need to create an account as per the instructions below.
Prerequisites for Day 2
- a NCI account ( create an account ) with valid password
- Membership of the following projects:
Day 1
| Click to Register | ||
|---|---|---|
1:05-1:10 | Dr. Ben Evans | Opening |
1:10 - 1:30 | Dr. Yue Sun | A gentle Introduction to the Interactive Workflow of Developing Deep Learning Models |
1:30 - 2:15 | Dr. Maruf Ahmed Dr. Edison Guo | Describing Deep Learning Models for Climate and Weather Studies
|
2:15 - 2:30 | Tea Break | |
2:30 - 3:15 | Dr. Yue Sun Dr. Rui Yang | Describing Deep Learning Models for Climate and Weather Studies
|
3:15 - 3:30 | Dr. Rui Yang | Overview: Facilitating AI/ML Processes with NCI
|
3:30 - 4:00 | Dr. Ben Evans Discussions
| |
Day 2
| Click to Register | ||
|---|---|---|
10:00 - 10:30 | Ms. ZhuoChen Wu | ARE jobs setup |
10:30 - 12:30 | Dr. Edison Guo Dr. Maruf Ahmed Dr. Rui Yang Dr. Yue Sun | Self-Directed Examples using ARE JupyterLab [Recommend to focus on a notebook showing in the first four bullet points during the training]
|
Exercise Example Direct Links
| Instructors | Examples | Notebooks | ARE Job Instruction |
|---|---|---|---|
| Maruf Ahmed | https://github.com/nci/NCI-DLWP-CS.git | search "Queue" on the page NCI-DLWP-CS Notebooks | |
| https://github.com/nci/NCI-AI-Models.git | seearch "Queue" on the page ECMWF's inference AI-Model notebooks | |
| Edison Guo | CorrDiff on BARRA2 inference | /g/data/dk92/notebooks/examples-aiml/corrdiff/inference/CorrDiff_inference.ipynb | search "Queue" on the page NCI-CorrDiff |
| Rui Yang | CGNet on ClimateNet | /g/data/dk92/apps/climatenet/24.02/notebooks/ClimateNet/train_eva_pred.ipynb | search "Queue" on the page Evaluation of CGNet Model Using the ClimateNet Dataset |
| Yue Sun |
| search "Queue" on the page Spherical Fourier Neural Operators | |
| /g/data/dk92/notebooks/examples-aiml/climODE/climODE_global.ipynb | search "Queue" on the page ClimODE | ||
| search "Queue" on the page NeuralGCM | ||
| search "Queue" on the page Prithvi.WxC Model Family |