Deep Learning Outperforms Physics Models in Rainfall Nowcasting for Bangladesh
A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...
A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...
A new analysis of Finnish derechos shows that the warm, moist, sheared atmospheric environments that produce these destructive widespread windstorms ...
A new study documents seven year-round North Atlantic European weather regimes from 1950 to 2024, showing that their most extreme ...
A 65-year analysis of Finnish reanalysis data shows that compound events of extreme snowfall and wind gusts are usually brief ...
A 64-year reconstruction of Swiss hail days reveals that active hail seasons are driven by recurring large-scale circulation patterns and ...
A new case study of the December 2025 fog siege at Patna Airport shows that persistence depends on a coordinated ...
A new validation study shows that a fast, polynomial-based method for estimating thunderstorm cloud-top heights from a single infrared channel ...
A new analysis of Peruvian Navy warnings and ERA5 reanalysis shows that extreme swells striking Peru are driven by deep ...
A new adaptive observation-weighting scheme in the TCKF1D-Var retrieval framework dynamically balances microwave radiometer and Raman lidar data, improving moisture ...
A twelve-model study shows that nudging climate models towards the observed Quasi-Biennial Oscillation improves some extratropical teleconnections but leaves others ...
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© 2025 Scienmag - Science Magazine