By Yumeng Chen, January 2026. Limitations of the normal distribution in data assimilation Operational data assimilation methods typically perform best when both background (forecast) and observation errors can be approximated…Read More >
data assimilation
Improving How We Represent the Land in Earth System Models
By Natalie Douglas, January 2026 A recent community paper, Parameter Estimation in Land Surface Models: Challenges and Opportunities with Data Assimilation and Machine Learning, addresses a deceptively simple question with…Read More >
11th International Symposium on Data Assimilation
By Alison Fowler At the end of September, I joined approximately 100 scientists from operational centres and academia, each contributing to progress in data assimilation. Together in Melbourne for the…Read More >
The value of observations for weather prediction in the age of machine learning
by Sarah L Dance A few months ago, on 25th February 2025, our colleagues at ECMWF (European Centre for Medium-range Weather Forecasts) took their deep-learning-based global weather forecasting system, known…Read More >
