Data assimilation is a crucial process in numerical weather prediction (NWP) that combines observational data with model forecasts to improve the accuracy of weather predictions. This process ...

Numerical weather prediction (NWP) systems use large amounts of observational data gathered daily using satellite-based and ground-based instruments to make forecasts, but maintaining them is costly ...

Professor Julie Lundquist has developed and led research efforts to implement advanced methods for parameterizing turbulence in large- eddy simulations and numerical weather prediction models for ...

In summary, the researchers point out that evaluation of the wind field of numerical weather prediction models from the perspective of the vector field can provide a scientific basis for ...

Climate change is making extreme weather events worse, empowering meteorological phenomena such as storms, hurricanes, heat waves, and droughts. Against this backdrop, numerical weather predictions ...