What is it about?
This review paper presents methods to estimate uncertainties in data assimilation, especially the model Q and observation R error covariance matrices.
Featured Image
Why is it important?
This review aims to present and to discuss, with a unified framework, different methods to jointly estimate the Q and R matrices using ensemble-based data assimilation techniques.
Perspectives
The conclusion of the review discusses the key challenges to further develop estimation methods for Q and R.
Pierre Tandeo
IMT Atlantique
Read the Original
This page is a summary of: A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation, Monthly Weather Review, August 2020, American Meteorological Society,
DOI: 10.1175/mwr-d-19-0240.1.
You can read the full text:
Contributors
The following have contributed to this page
