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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Soon-Young Park, Uzzal Kumar Dash, Jinhyeok Yu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-01-01
Schriftenreihe:	Atmosphere
Schlagworte:	data assimilation ensemble Kalman filter background error covariance length scale analysis
Online-Zugang:	https://www.mdpi.com/2073-4433/13/2/160
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