Advances in Data Assimilation, Predictability, and Uncertainty Quantification - 2017

Explore cutting-edge developments in data assimilation, predictability, and uncertainty quantification in this 2-hour conference session from the 2017 AGU Fall Meeting. Delve into presentations by leading experts from renowned institutions such as Jet Propulsion Laboratory, Naval Research Lab, Deutscher Wetterdienst, MIT, Columbia University, University of Reading, Ciemat, and Georgia Institute of Technology. Gain insights into the latest research and methodologies shaping the fields of geoscience and environmental data analysis. Learn about innovative approaches to improving forecasting accuracy, quantifying uncertainties, and integrating diverse data sources for enhanced scientific understanding and decision-making.

2017 Fall Meeting - NG23A: Advances in Data Assimilation...