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Assimilation of standard and targeted observations within the unstable subspace of the observation-analysis-forecast cycle system
Trevisan and Uboldi has shown that the flow-dependent instabilities that develop within an observation-analysis-forecast (OAF) cycle and that are responsible for the background error can be exploited in a very simple way to assimilate observations. The basic idea is that, in order to minimize the an...
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Published in: | Journal of the atmospheric sciences 2004, Vol.61 (1), p.103-113 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Trevisan and Uboldi has shown that the flow-dependent instabilities that develop within an observation-analysis-forecast (OAF) cycle and that are responsible for the background error can be exploited in a very simple way to assimilate observations. The basic idea is that, in order to minimize the analysis and forecast errors, the analysis increment must be confined to the unstable subspace of the OAF cycle solution. The analysis solution here formally coincides with that of the classical three-dimensional variational solution with the background error covariance matrix estimated in the unstable subspace. |
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ISSN: | 0022-4928 1520-0469 |
DOI: | 10.1175/1520-0469(2004)061<0103:AOSATO>2.0.CO;2 |