Papers of the Month

Machine Learning for Climate and Weather
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If you find a nice paper, pop it here. Each WG meeting, someone will give a quick description of their three favourites from the list. Note, you can put in papers published from any date, but the idea is to put things here which we stumble upon, and have a brief chat about them together.

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November 2024:

  1. Li, Y., Han, W., Li, H., Duan, W., Chen, L., Zhong, X., et al. (2024). Fuxi-en4dvar: An assimilation system based on machine learning weather forecasting model ensuring physical constraints. Geophysical Research Letters, 51, e2024GL111136. https://doi.org/10.1029/2024GL111136

  2. [2306.01984] DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

  3. [2408.09627] Machine Learning for the Physics of Climate

  4. [2410.12938] Multi-modal graph neural networks for localized off-grid weather forecasting

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