Weather Forecasting

Momentum

18 papers in the last four weeks, up 64% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 102

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CardsList
  1. Learning joint probabilistic weather forecasts from station observations alone

    Oct 7, 2026Chaeyeon Yi, Yun Am SeoWeather ForecastingProbabilistic Forecasting

  2. Artificial intelligence pathways from weather to climate

    Oct 7, 2026Tom Beucler, J. David Neelin, Hui Su +10Climate ModelingWeather Forecasting

  3. Tucker Bottleneck Attention for Multi-Dimensional Sequence Modeling

    Oct 6, 2026Ryan Solgi, Parsa Madinei, Zheng ZhangAttention MechanismsLow-Rank Attention

  4. Mechanistic Interpretability of Atmospheric Rivers in GraphCast

    Oct 6, 2026Madelyn Mathai, Timothy B. Higgins, Kevin M. Grise +2Mechanistic InterpretabilityWeather Forecasting

  5. WaveGSSM: Graph Wave State Space Models for Propagating Spatio-Temporal Patterns

    Oct 5, 2026Junyou Zhu, Fenying Cai, Ping Xiong +5Spatiotemporal ForecastingState Space Models

  6. Xaurora: Generative Weather Forecasting with Denoising Stochastic Interpolants from a Foundation Model Prior

    Oct 5, 2026Eliot Walt, Miltiadis Kofinas, Nikolaj Mücke +2Probabilistic ForecastingStochastic Interpolants

  7. FlexCast: Adaptive Weather Forecasting from Arbitrary Field Sets

    Oct 4, 2026Yuang Zhang, Chen Hui, Weisi Lin +4Weather Forecasting

  8. Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography

    Oct 1, 2026Alberto Pennino, Francesco Zanetta, Michele Cattaneo +28Weather Forecasting

  9. Less is more: error-distance scaling relation for data-efficient kilometer-scale downscaling of extreme heat

    Sep 30, 2026Ahmed Marey, Henry Lu, Abhishek Gaur +6Spatial GeneralizationScaling Laws

  10. STCFormer: Adaptive Spatio-Temporal Modeling with Dynamic Cluster Transformer for Station-based Weather Forecasting

    Sep 30, 2026Rongwen Li, Haixin Xie, Mingyang Wang +5Multivariate Time Series ForecastingClustering

  11. M2^2Weather: A Benchmark for Joint Multi-Station and Multi-Variable Weather Forecasting

    Sep 30, 2026Rongwen Li, Xiao Wang, Mingyang Wang +4Multivariate Time Series ForecastingForecasting Benchmarks

  12. Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting

    Sep 29, 2026Joonhyeong Park, Giung Nam, Hyungi Lee +3Probabilistic ForecastingProper Scoring Rules

  13. Graph-Based Learning for Multi-Horizon Martian Atmospheric Forecasting

    Sep 28, 2026Gary Myler, James Holmes, Manish Patel +1Spatiotemporal ForecastingWeather Forecasting

  14. Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations

    Sep 28, 2026Oskar Bohn Lassen, Joao Paulo de Souza Boger, Simon Driscoll +4Spatiotemporal ForecastingWeather Forecasting

  15. WeatherDiagFlow: Evidence-Grounded Radar Nowcasting with Diagnostic Flow Refinement

    Sep 24, 2026Chunlei Shi, Yufeng Zhu, Yixiao Liang +4Precipitation NowcastingWeather Forecasting

  16. West-WRF AI 2-km: High-Resolution Prediction of Integrated Vapor Transport and Precipitation

    Sep 22, 2026Nazak Rouzegari, Vesta Afzali Gorooh, Agniv Sengupta +6Precipitation ForecastingWeather Forecasting

  17. FAST-ML: A Hybrid Physics-Machine Learning Framework for Tropical Cyclone Intensity Forecasting

    Sep 22, 2026Shijie Xiao, Jonathan Lin, Thomas Ehrmann +1Probabilistic ForecastingPhysics-Informed ML

  18. Recursive Quantum Long Short-Term Memory for Stable Short-Horizon Temperature Forecasting

    Sep 17, 2026Mu-En Lee, Yen-Ku Liu, Samuel Yen-Chi Chen +1Time Series ForecastingQuantum Machine Learning

  19. Every Fixed Metric Has a Blind Spot: A Learned Atmospheric Critic for Scoring Forecast Realism

    Sep 16, 2026Younes Elberkennou, Dmitri Demler, Thierry Meier +3Weather Forecasting

  20. 4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

    Sep 14, 2026Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen +12Bayesian Neural NetworksUncertainty Quantification

  21. Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts

    Sep 9, 2026Shuai Yan, Yang Xu, Shan HePrompt OptimizationWeather Forecasting

  22. Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models

    Sep 8, 2026Simon Adamov, Oliver Fuhrer, Reto Knutti +1Uncertainty QuantificationEnsemble Learning

  23. From Nowcasting to Forecasting: Adapting a Reanalysis-Trained

    Sep 3, 2026Mikko Partio, Leila Hieta, Ossi LaineWeather Forecasting

  24. WeatherNext 3: Increasing resolution and performance of global weather models with raw observations

    Sep 3, 2026Stephan Rasp, Boris Babenko, Dominic Masters +22Probabilistic ForecastingWeather Forecasting

  25. Improving global precipitation forecasts with an AI weather model trained on satellite observations

    Sep 2, 2026Julian F. Schmitt, Bertrand Delorme, Robert C. King +4Precipitation ForecastingProbabilistic Forecasting

  26. Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling

    Sep 2, 2026Pritthijit Nath, Sebastian Schemm, Peter Haynes +2Weather ForecastingDistributed RL

  27. TC-Next: Zero-Shot Multimodal Cyclone Forecasting

    Sep 2, 2026Zhe Wang, Sijie Chen, Yiming Luo +2Weather ForecastingMultimodal Learning