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1:00-1:05	Dr. Ben Evans	Opening
1:05-1:20	Dr. Yue Sun	A gentle Introduction to the Interactive Workflow of Developing Deep Learning Models Presentation Slides
1:20 - 2:10	Dr. Edison Guo Dr. Maruf Ahmed Dr. Rui Yang Dr. Yue Sun	Describing Deep Learning Models for Climate and Weather Studies Forecasting Models: (DLWP-CS, ClimaX) on NCI-WeatherBench, (Pangu-Weather, GraphCast) on ERA5, NCI-FourCastNeXt: train modified FourCastNet at NCI Downscaling Models: CorrDiff on BARRA2, Physical Law Incorporation: SFNO on ERA5, ClimODE on NCI-WeatherBench Segmentation Models: CGNet on ClimateNet Presentation Slides [link will be added after training]
2:10 - 2:20	Dr. Rui Yang	Overview: Facilitating AI/ML Processes with NCI Datasets: ERA5, WeatherBench, BARRA2 and more Environments: Modules compatible with (ARE VDI/JupyterLab, PBS Jobs) x Examples Models and Training/Inference examples that are tested on Gadi and ready to use Presentation Slides [link will be added after training]
2:20 - 2:30	Tea Break
2:30 - 3:30	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] CorrDiff (Edison): an Example of Generative Diffusion Model used for Downscaling task Forecasting Models (Maruf): DLWP-CS and Inference Examples of SOTA Weather Forecasting Models Evaluation of CGNet Model Using the ClimateNet Dataset (Rui): an Example of Weather Pattern Detection through Segmentation ClimODE (Yue): an Example of Neural Ordinary Differential Equation for Weather Forecasting More Inference and Training Notebooks available at AI/ML for Climate & Weather
3:30 - 4:00	Dr. Ben Evans Discussions Feedback on the examples. Suggestions to further improvements. What more support do you need? What models/algorithms are you interested in / working on?

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