Global Model at 220-Meter Resolution Wipes Out Phantom Popcorn Rain
Researchers at the University of Tokyo have run the first global large-eddy simulation at 220-meter grid spacing, eliminating the persistent ...
Researchers at the University of Tokyo have run the first global large-eddy simulation at 220-meter grid spacing, eliminating the persistent ...
A two-week German campaign called VITAL I tested drones, Doppler lidars, water vapor lidars and microwave radiometers against radiosondes, a ...
A new multi-scale deep learning framework called Rain-PostEFNet substantially improves numerical weather prediction rainfall forecasts, with the largest gains in ...
A nationwide Hungarian study of more than 114,000 cases shows that weather data, especially falling temperatures, could help predict surges ...
A transparent statistical framework shows that persistent site effects and local meteorological mismatch, not elaborate regime modeling, account for most ...
Researchers have shown for the first time that assimilating satellite measurements of naturally occurring water vapor isotopes into weather models ...
Japanese researchers show that assimilating continuous hourly wind observations from the Antarctic PANSY radar into a numerical weather prediction system ...
A survey of 384 smallholder farmers in Uganda's Mount Elgon region shows that traditional plant-based weather forecasting, especially leaf shedding ...
Researchers at North Carolina State University have developed S-DEIM, a method that reconstructs global sea surface temperatures from sparse observations ...
A sweeping new survey in Artificial Intelligence Review maps the AI architectures transforming weather and climate prediction while exposing evaluation ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine