A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations
Keyword(s):
Abstract An observing system experiment, simulating a surface-only observing network representative of the 1930s, is carried out with three- and four-dimensional variational data assimilation systems (3D-VAR and 4D-VAR) and an ensemble-based data assimilation system (EnsDA). It is found that 4D-VAR and EnsDA systems produce analyses of comparable quality and that both are much more accurate than the analyses produced by the 3D-VAR system. The EnsDA system also produces useful estimates of analysis error, which are not directly available from the variational systems.
2010 ◽
Vol 115
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2020 ◽
2018 ◽
Vol XLII-3
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pp. 2215-2218
2014 ◽
Vol 142
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pp. 3586-3613
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2020 ◽
Vol 63
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pp. 1366-1380
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2010 ◽
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pp. 1303-1310
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