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Tom Beucler

Identifiers

  • name variant Tom Beucler 0.60 · backfill

Papers (39)

  1. PRecover 1.0: Process Rate Recovery with Machine Learning physics.ao-ph · 2026 · author #2
  2. SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland physics.ao-ph · 2026 · author #8
  3. A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models cs.LG · 2026 · author #5
  4. Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss cs.LG · 2026 · author #3
  5. Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic physics.ao-ph · 2026 · author #3
  6. Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning cs.LG · 2026 · author #6
  7. Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes physics.ao-ph · 2026 · author #3
  8. TCBench: A Benchmark for Tropical Cyclone Track and Intensity Forecasting at the Global Scale cs.CE · 2026 · author #16
  9. Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model physics.ao-ph · 2025 · author #2
  10. Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting stat.AP · 2025 · author #8
  11. Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models physics.ao-ph · 2025 · author #5
  12. Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications physics.comp-ph · 2024 · author #1
  13. Lightning-Fast Convective Outlooks: Predicting Severe Convective Environments with Global AI-based Weather Models physics.ao-ph · 2024 · author #2
  14. Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations physics.ao-ph · 2024 · author #2
  15. Identifying Three-Dimensional Radiative Patterns Associated with Early Tropical Cyclone Intensification physics.ao-ph · 2024 · author #2
  16. Lessons Learned: Reproducibility, Replicability, and When to Stop cs.LG · 2024 · author #2
  17. Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate physics.ao-ph · 2024 · author #3
  18. Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications physics.ao-ph · 2023 · author #1
  19. Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles physics.ao-ph · 2023 · author #4
  20. ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation cs.LG · 2023 · author #15
  21. Causally-informed deep learning to improve climate models and projections physics.ao-ph · 2023 · author #4
  22. Data-Driven Equation Discovery of a Cloud Cover Parameterization physics.ao-ph · 2023 · author #2
  23. Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery stat.ML · 2023 · author #2
  24. Physics-constrained deep learning postprocessing of temperature and humidity physics.ao-ph · 2022 · author #3
  25. Understanding Extreme Precipitation Changes through Unsupervised Machine Learning physics.ao-ph · 2022 · author #2
  26. Comparing Storm Resolving Models and Climates via Unsupervised Machine Learning physics.ao-ph · 2022 · author #3
  27. Non-Linear Dimensionality Reduction with a Variational Encoder Decoder to Understand Convective Processes in Climate Models physics.ao-ph · 2022 · author #2
  28. Deep Learning Based Cloud Cover Parameterization for ICON physics.ao-ph · 2021 · author #2
  29. Climate-Invariant Machine Learning cs.LG · 2021 · author #1
  30. Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs physics.ao-ph · 2021 · author #4
  31. Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models with Real-Geography Boundary Conditions physics.ao-ph · 2020 · author #3
  32. Generative Modeling for Atmospheric Convection physics.ao-ph · 2020 · author #5
  33. Interpreting and Stabilizing Machine-learning Parametrizations of Convection physics.ao-ph · 2020 · author #2
  34. Quantifying Convective Aggregation using the Tropical Moist Margin's Length physics.ao-ph · 2020 · author #1
  35. Towards Physically-consistent, Data-driven Models of Convection physics.ao-ph · 2020 · author #1
  36. Convective dynamics and the response of precipitation extremes to warming in radiative-convective equilibrium physics.ao-ph · 2019 · author #3
  37. Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems physics.comp-ph · 2019 · author #1
  38. Comparing Convective Self-Aggregation in Idealized Models to Observed Moist Static Energy Variability near the Equator physics.ao-ph · 2019 · author #1
  39. Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling physics.ao-ph · 2019 · author #1

Mentions

  • 2504.00128 #5 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2304.08063 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2406.09474 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2402.03079 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2408.02161 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2309.16177 #4 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2401.09493 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2306.08754 #15 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2304.12952 #4 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2311.13691 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2112.08440 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2401.03736 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2401.02098 #3 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2208.11843 #3 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2211.01613 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2304.05294 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2212.04487 #3 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2112.11317 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2204.08708 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2112.01221 #4 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2010.12996 #3 · arxiv_oai · confidence 0.70 Tom Beucler
  • 1909.00912 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2003.06549 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2002.11301 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2007.01444 #5 · arxiv_oai · confidence 0.70 Tom Beucler
  • 1909.01941 #3 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2002.08525 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 1908.03764 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 1906.06622 #1 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2606.20165 #2 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2601.23268 #16 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2605.16163 #8 · arxiv_oai · confidence 0.70 Tom Beucler
  • 2510.08107 #2 · arxiv_oai · confidence 0.70 Tom Beucler

Frequent Coauthors