A multivariate balance operator for variational ocean data assimilation

By A. T. Weaver, Charles Deltel, Eric Machu, Sophie Ricci, N. Daget. 2005

210 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/405fca78f4bfeae7c75da273e49f32171ef7754c

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In Atmospheric Science

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In Oceanography

Citations in the corpus

A coupled data assimilation system for climate reanalysis (2016, methodology): “The multivariate correlations present between different physical fields are modelled using balance operators (Weaver et al., 2005).”
B‐preconditioned minimization algorithms for variational data assimilation with the dual formulation (2014, background): “The variables in the control vector δu consist of increments δT, δSU and δηU where the subscript U denotes an ‘unbalanced’ component of that variable (Weaver et al., 2005).”
The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation (2011, methodology): “A beneficial first-level of preconditioning is a transformation of variable v 1⁄4 D 12dxU via the prior error covariance matrix (Lorenc, 2003), where dxU are the unbalanced components of the increment (Weaver et al., 2005), which are assumed to be mutually uncorrelated.”
An oceanographic three-dimensional variational data assimilation scheme (2008, methodology): “These last have been mainly used in oceanographic re-analyses with relatively coarse resolution models (e.g. Derber and Rosati, 1989; Masina et al., 2001; Stammer et al., 2002; Weaver et al., 2003; Fujii and Kamachi, 2003; Weaver et al., 2005).”
A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics (2008, methodology): “The CVT technique is also used in some ocean VAR systems (e.g. Weaver et al., 2005).”
A review of operational methods of variational and ensemble‐variational data assimilation (2017, background): “There are number of key studies that describe the choice of control variables used for meteorological DA (e.g. Parrish and Derber, 1992; Derber and Bouttier, 1999; Berre, 2000), for ocean DA (Weaver et al., 2005), and in general (Bannister, 2008; Ménétrier and Auligné, 2015).”