Yet that can be a time-consuming and expensive endeavor. Traditional forecasting relies upon a method called numerical ...

With the increase in climate change, global precipitation estimates have become a necessity for predicting water-related ...

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 ...

In this study, we are developing a total monitoring, prediction, warning, utilization, and behavioral package for natural disasters caused by intense rainstorms and flooding, and putting it to use in ...

provides a probabilistic ensemble weather forecast – a distribution of probable weather – rather than a deterministic numerical weather prediction (NWP) calculation that points to a specific ...

Researchers have created a dataset of the whole atmosphere, enabling new research to be conducted on previously difficult-to-study regions. Using a new data-assimilation system called JAGUAR-DAS, ...

Its advanced numerical weather prediction models now deliver seamless forecasts from a few hours to an entire season, backed ...

Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...