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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Bibliografski detalji

Glavni autori:	Soon-Young Park, Uzzal Kumar Dash, Jinhyeok Yu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-01-01
Serija:	Atmosphere
Teme:	data assimilation ensemble Kalman filter background error covariance length scale analysis
Online pristup:	https://www.mdpi.com/2073-4433/13/2/160
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