Showing 1–15 of 15 results
/ Date/ Name
Jan 26, 2026Demystifying Data-Driven Probabilistic Medium-Range Weather ForecastingJan 24, 2026Learning Accurate Storm-Scale Evolution from ObservationsNov 26, 2025Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle CompetitionApr 4, 2025Diagnosing Biases in Tropical Atlantic-Pacific Multi-Decadal Teleconnections Across CMIP6 and E3SM ModelsJun 19, 2024Generative Data Assimilation of Sparse Weather Station Observations at Kilometer ScalesApr 4, 2024DiffObs: Generative Diffusion for Global Forecasting of Satellite ObservationsSep 28, 2023Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) EnsemblesSep 24, 2023Residual Corrective Diffusion Modeling for Km-scale Atmospheric DownscalingFeb 8, 2023Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training datasetJan 2, 2023Using Neural Networks to Learn the Jet Stream Forced Response from Natural VariabilityNov 3, 2022Understanding Extreme Precipitation Changes through Unsupervised Machine LearningAug 25, 2022Comparing Storm Resolving Models and Climates via Unsupervised Machine LearningDec 1, 2021Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEsOct 24, 2020Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models with Real-Geography Boundary ConditionsApr 14, 2020A Fortran-Keras Deep Learning Bridge for Scientific Computing