This repository is a proof of concept developed during the 2025 Momentum Partnership Hackathon, trying to predict visible Himawari bands from IR bands using neural networks models, relying on PyEarthTools for data preparation.
This code has been developed to run on NCI Gadi HPC platform, via ARE (Australian Research Environment) mainly.
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- Tingting Zhou, Feng Zhang, Haoyang Fu, Baoxiang Pan, Renhe Zhang, Feng Lu and Zhixin Yang, " Lighting the Night with Generative Artificial Intelligence" (2025)
- Mickell D. Als, David Tomarov and Steve Easterbrook, "Discrete variational autoencoders for synthetic nighttime visible satellite imagery" (2025)
- J. Yao, P. Du, Y. Zhao and Y. Wang, "Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks" (2025)