Awesome Papers

Papers

Generating realistic global precipitation fields from modelled atmospheric circulation (2026)
Michael Aich et al.
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Approximating the universal thermal climate index using sparse regression with orthogonal polynomials (2026)
Sabin Roman et al.
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FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting (2026)
Lei Chen et al.
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Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations (2026)
Birgit K\"uhbacher et al.
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Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (2026)
Rui Wang et al.
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The physics of AI weather models (2026)
George Craig et al.
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Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East) (2026)
Aaron Sonabend-W et al.
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Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information (2026)
Zachary James et al.
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Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers (2026)
Minghui Qiu et al.
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Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing (2026)
Manuel P\'erez-Carrasco et al.
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RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges (2026)
Ruize Li et al.
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AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion (2026)
Somnath Luitel et al.
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Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening (2026)
Solomiia Kurchaba et al.
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Towards a Foundation Model for the Martian Atmosphere (2026)
Sujit Roy et al.
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Probabilistic bias adjustment of seasonal forecasts using generative machine learning: A case study of Arctic sea ice predictions (2026)
Parsa Gooya et al.
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Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts (2026)
Fanny Lehmann et al.
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