An Optimal Linear Transformation for Data Assimilation

Abstract Linear transformations are widely used in data assimilation for covariance modeling, for reducing dimensionality (such as averaging dense observations to form “superobs”), and for managing sampling error in ensemble data assimilation. Here we describe a linear transformation that is optimal...

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Bibliographic Details
Main Authors: Chris Snyder, Gregory J. Hakim
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-06-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2021MS002937