Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...

Data assimilation techniques have become critical tools for merging observational data with numerical models, thereby enhancing the accuracy and reliability of geoscientific forecasts. These methods ...

Data assimilation is a mathematical discipline that integrates observed data and numerical models to improve the interpretation and prediction of dynamical systems. It is a crucial component of earth ...

Clockwise from top left: Images of the 2020 Midwest Derecho from radar and microwave satellite observations show similar patterns, which are obscured in infrared brightness satellite observations. A ...

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, ...

The top row depicts a turbulent flow obtained from a direct numerical simulation (DNS) that fully resolves all scales of motion. The middle row represents incomplete observations in which small-scale ...

In 2020, a line of severe thunderstorms unleashed powerful winds that caused billions in damages across the Midwest United States. A new technique that incorporates satellite data could improve ...