Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation

Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation

Data assimilation (DA) combines incomplete background values obtained via chemical transport model predictions with observational information. Several 3-Dimensional variational (3DVAR) and sequential methods (e.g., ensemble Kalman filter (EnKF)) are used to define model errors and build a background...

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Bibliographic Details
Main Authors: Soon-Young Park, Uzzal Kumar Dash, Jinhyeok Yu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Atmosphere
Subjects:
data assimilation
ensemble Kalman filter
background error covariance
length scale analysis
Online Access:https://www.mdpi.com/2073-4433/13/2/160

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