Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...

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 ...

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 ...

Ocean data assimilation systems combine data assimilation with numerical ocean models to predict ocean conditions. Researchers recently created the Yin-He Global Ocean Data Assimilation and Forecast ...

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 ...