Tag: ensemble forecasting

Researchers at the University of Tehran have developed a hybrid deep learning framework called RAME that achieves 0.87 R-squared accuracy ...

Researchers have developed a computationally efficient parametric method that forecasts wildfire smoke uncertainty directly within an operational air quality model, ...

A new two-stage method that filters climate model ensembles using both observations and initialized decadal predictions significantly narrows the uncertainty ...

A new Belgian study finds that the generative AI model LDCast and the classical STEPS system both estimate the size ...

A University of Miami-led study found that ECMWF's new artificial intelligence forecasting system can complement traditional weather models by offering ...

Researchers have unveiled SURF, a fast compressible hydrodynamic modelling framework that reproduces solar wind and coronal mass ejection behaviour with ...

A new study shows that initializing a weather model with assimilated soil moisture and satellite-derived Indian land cover data significantly ...

Dutch researchers show that assimilating satellite altimeter wave height data with a Deterministic Ensemble Kalman Filter cuts significant wave height ...

A new digital twin framework uses ensemble forecasting and a fast, explainable confidence index to defer non-critical water maintenance during ...