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FuXi Weather : A data-to-forecast machine learning system for global weather
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Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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Can AI weather models predict out-of-distribution gray swan tropical cyclones?
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Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
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Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
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Early Warning of Complex Climate Risk with Integrated Artificial Intelligence
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On Some Limitations of Current Machine Learning Weather Prediction Models
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Artificial intelligence for modeling and understanding extreme weather and climate events
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Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
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Climate-invariant machine learning
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ClimaX: A foundation model for weather and climate
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AI-empowered Next-Generation Multiscale Climate Modelling for Mitigation and Adaptation
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FourCastNet – Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
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Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
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AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
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Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
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Pangu-Weather — Accurate medium-range global weather forecasting with 3D neural networks
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GRAPHDOP — Towards Skillful Data-Driven Medium-Range Weather Forecasts
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DiffDA — A Diffusion Model for Weather-Scale Data Assimilation
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ARCHESWEATHER — An Efficient AI Weather Forecasting Model at 1.5º Resolution
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Advances in Land Surface Model-Based Forecasting
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ACE2 - Accurately learning subseasonal to decadal atmospheric variability and forced responses
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AURORA — A Foundation Model of the Atmosphere
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ACE - A Fast, Skillful Learned Global Atmospheric Model for Climate Prediction
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WeatherBench 2 - A benchmark for the next generation of data-driven global weather models
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FuXi-ENS - A machine learning model for medium-range ensemble weather forecasting
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SFNO - Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
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Identifying and Categorizing Bias in AI/ML for Earth Sciences
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Aardvark weather- end-to-end data-driven weather forecasting
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Prithvi WxC- Foundation Model for Weather and Climate
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NeuralGCM - Neural general circulation models for weather and climate
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Deep learning for predicting rate-induced tipping
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AIFS - ECMWF's data-driven forecasting system
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Robustness of AI-based weather forecasts in a changing climate
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GenCast - Probabilistic weather forecasting with machine learning
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