Latest Research in Atmospheric Predictive Modeling

Top Research Topics in Atmospheric Predictive Modeling

• Meteorological Phenomena and Simulations — 31 papers
• Machine Learning — 25 papers
• Atmospheric and Oceanic Physics — 24 papers
• Tropical and Extratropical Cyclones Research — 11 papers
• Precipitation Measurement and Analysis — 7 papers
• Climate variability and models — 6 papers
• Air Quality Monitoring and Forecasting — 5 papers
• Methodology — 4 papers
• Atmospheric aerosols and clouds — 4 papers
• Water Systems and Optimization — 4 papers

Highest-Cited Papers

1. Time‐Aware UNet and Super‐Resolution Deep Residual Networks for Spatial Downscaling (1 citations)
2. An AI-driven reconstruction of global surface temperature with emphasis on refining the Antarctic record (1 citations)
3. A barycenter-based approach for the multi-model ensembling of subseasonal forecasts (1 citations)
4. Incorporating spatio-temporal population dynamics into deep learning models for small-area population forecasting
5. An ESMValTool-based framework for sanity checks, physical consistency and climate fidelity during model development – ICONEval v1.0
6. Multi-Model Forecasting of Shoreline Air Temperature using Machine Learning and Deep Learning: The CidAlmeida Station, Portugal
7. Intra‐Seasonal Variability of Serial Clustering of Severe European Winter Windstorms
8. Implementation of machine learning for wind speed retrieval from HY-2B altimeter
9. A Sensor-Driven State-Space Framework for PM2.5-Informed Natural Ventilation Opportunities Under Coupled Pollution–Thermal–Humidity Constraints
10. Tropical Cyclone Precipitation Nowcasting Based on Flow Matching Model With Numerical Wind Field Constraints
11. An online spectral nudging-based correction system: improving physical model forecasts by incorporating large-scale circulations derived from machine learning models
12. Nonlinear Probabilistic Forecast Reconciliation
13. Deep learning trained on high-fidelity climate model simulations extends the skillful prediction of Northern Tropical Atlantic SST anomalies
14. Machine learning is revolutionizing weather forecasting - the next step is a change in how we work
15. Butterfly Effect and the Kinetic Energy Cascade in Probabilistic Machine Learning Weather Prediction Models
16. Site-scale, Multi-resolution WRF Wind Modeling with Observational Nudging for Methane Emission Monitoring in the Permian Basin
17. Every Fixed Metric Has a Blind Spot: A Learned Atmospheric Critic for Scoring Forecast Realism
18. Composable multi-satellite precipitation estimation for evolving observing systems
19. IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy
20. Combining AI and numerical models for improving short-medium range precipitation prediction

Sub-Regions

• Tropical and Extratropical Cyclones Research — 52 papers
• Machine Learning — 36 papers
• Meteorological Phenomena and Simulations — 24 papers
• Atmospheric and Oceanic Physics — 22 papers
• Oceanographic and Atmospheric Processes — 14 papers
• Precipitation Measurement and Analysis — 10 papers