Assimilation of data into an ocean model with systematic errors near the equator

By Michael J. Bell, Matthew Martin, Nancy Nichols. 2004

135 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/d8f95ddb587a0902cf5558439ee939dbf1d5fbff

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Citations in the corpus

Incorporating State-Dependent Temperature–Salinity Constraints in the Background Error Covariance of Variational Ocean Data Assimilation (2005, unknown): “Bell et al. (2004) have suggested that this current bias could be linked to”
Interannual Variations of the Tropical Ocean Instability Wave and ENSO (2008, background): “Because improper behavior of some data assimilation systems has been reported (e.g., Bell et al. 2004; Ricci et al. 2005), quantitative validation of assimilation data is required.”
Bias and data assimilation (2005, methodology): “Nevertheless, it would be preferable to estimate tendency errors that lead to the bias in the background fields, if this could be used to suppress bias generation during the integration of the model (Derber 1989; Radakovich et al. 2001; Bell et al. 2004; Balmaseda et al. 2005).”
Evaluation of the CMCC eddy‐permitting global ocean physical reanalysis system (C‐GLORS, 1982–2012) and its assimilation components (2016, methodology): “Bias models (e.g. Bell et al., 2004; Balmaseda et al., 2007) have been constructed to correct systematic errors, the correction of which appears crucial for climate applications.”
Inverse problems: A Bayesian perspective (2010, methodology): “The paper of Bennett and Budgell (1987) studies the use of filtering techniques in high dimensions, motivated by oceanographic data assimilation, and contains a study of the question of how to define families of finite-dimensional filters which converge to a function-space-valued limit as the finite”