Latest Research in Meteorological Phenomena and Simulations

Top Research Topics in Meteorological Phenomena and Simulations

• Meteorological Phenomena and Simulations — 7 papers
• Atmospheric and Oceanic Physics — 7 papers
• Machine Learning — 5 papers
• Methodology — 1 papers
• Tropical and Extratropical Cyclones Research — 1 papers
• Applications — 1 papers
• Climate variability and models — 1 papers
• Theoretical and Computational Physics — 1 papers

Highest-Cited Papers

1. An online spectral nudging-based correction system: improving physical model forecasts by incorporating large-scale circulations derived from machine learning models
2. Nonlinear Probabilistic Forecast Reconciliation
3. Every Fixed Metric Has a Blind Spot: A Learned Atmospheric Critic for Scoring Forecast Realism
4. Composable multi-satellite precipitation estimation for evolving observing systems
5. Diagnosing Forecast Error Propagation and Large‐Scale Dynamics of Weather Extremes With an AI Weather Model
6. Convective Weather Characterization and Prediction Using Machine Learning Algorithms: An Analysis for the Amazon Region
7. Artificial intelligence for weather and climate: a survey of methods, benchmarks, and scientific machine learning challenges
8. Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning
9. Station-Based Evaluation of AI Weather Models for Near-Surface Temperature, Pressure, and Wind Forecasts over Eastern Coastal China
10. Aries: A Proprietary Medium-Range Weather Prediction Model for the Energy Industry
11. Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
12. Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models
13. PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast
14. WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
15. Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions
16. GOES-R and JPSS Proving Ground Demonstration at the Hazardous Weather Testbed 2019 Spring Experiment Final Evaluation
17. Bridging short- and medium-range weather forecasting with machine learning
18. Climate Physics Dynamic Matching
19. Benchmarking Deep Learning Against Statistical Baselines and a Physical Climate-Model Comparator for Station-Scale Meteorological Forecasting: A 100-Station Study from the Western Balkans
20. Enhancing operational wind downscaling capabilities over Canada: Application of a Conditional Wasserstein GAN methodology