Self-Supervised Temporal Reconstruction of Subhourly Climate Records since 1806
Bias-targeted deep learning enhances short-range heavy rainfall forecasts
Enhanced Persistence of Ural Blocking under Strong Positive AO: The Role of North Atlantic Storm Tracks and PV Dynamics
SIGMAformer: a spatiotemporal gaussian mixture correlation transformer for global weather forecasting
Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models
A Super-Resolution Framework for Downscaling Machine Learning Weather Prediction toward 1-km air temperature
An analytical framework reduces cloud feedback uncertainty by linking percentage cloud change to surface ocean warming patterns
The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming
A Lightweight Physics-Aware Framework for Multi-Scale Marine Heatwaves Forecasting
Three generations of NARCliM: future projections of mean and extreme climate over the CORDEX Australasia domain
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