Towards Full Flow‐Dependence: New Temporally Varying EDA Quotient Functionality to Estimate Background Errors in CERRA

Towards Full Flow‐Dependence: New Temporally Varying EDA Quotient Functionality to Estimate Background Errors in CERRA

Abstract A new temporally evolving quotient on the Ensemble of Data Assimilations (EDA) technique for estimating background error covariances has been developed for the Copernicus European Regional Re‐Analysis (CERRA). The B‐matrix is modeled on a bi‐Fourier limited area model. Background errors are...

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Bibliographic Details
Main Authors: A. El‐Said, P. Brousseau, M. Ridal, R. Randriamampianina
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-02-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
background error estimation
B‐matrix
data assimilation
EDA
reanalysis
Online Access:https://doi.org/10.1029/2021MS002637

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