Data Assimilation for Numerical Weather Prediction: A Review

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Expanding the role of reactive transport models in critical zone processes (2017, methodology): “…originated from numerical weather prediction (Daley, 1991), is another technique that has been used widely in recent decades to address the issue of parameter non-uniqueness or equifinality in atmospheric, geographic, oceanic, and hydrologic sciences (Beven, 2001b; Navon, 2009; Rabier, 2005).”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, unknown): “[171] I.”
Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review (2013, methodology): “These methods are usually referred as weak constraint 4D-Var and involve an extension of the control space to include model parameters (Navon 2009, and references therein).”
Construction of non-diagonal background error covariance matrices for global chemical data assimilation (2010, background): “Multivariate, multidimensional background error covariance matrices that maintain the geostrophic and hydrostatic balance have been proposed inAkella and Navon (2009).”