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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Here are mine for Nov 2024

  1. [2406.05019] Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis
  2. Emerging AI-based weather prediction models as downscaling tools
  3. [2409.18529] Robustness of AI-based weather forecasts in a changing climate
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Papers from December 2024

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting - [2411.16807] ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting

Probabilistic Emulation of a Global Climate Model with Spherical DYffusion - [2406.14798] Probabilistic Emulation of a Global Climate Model with Spherical DYffusion (see also https://www.youtube.com/watch?v=Hac_xGsJ1qY)

Probabilistic weather forecasting with machine learning - Probabilistic weather forecasting with machine learning | Nature

Fourier Analysis Networks - [2410.02675] FAN: Fourier Analysis Networks

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