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 ...

Data assimilation is a critical process in meteorology and climate science, integrating observations from satellites, ground stations and novel platforms, such as CubeSats, with numerical models to ...

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 ...

New research suggests improved short-term temperature forecasts could cut U.S. heat mortality by 18% to 25% by 2100. For the ...

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, ...

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 ...