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A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data AssimilationMonthly Weather Review, 2020, 148 (10), pp.3973-3994. ⟨10.1175/MWR-D-19-0240.1⟩
Journal articles
hal-02922301v1
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Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methodsTellus A: Dynamic Meteorology and Oceanography,, 2018, 70 (1), pp.1 - 17. ⟨10.1080/16000870.2018.1442099⟩
Journal articles
hal-01773980v1
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Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review2018
Preprints, Working Papers, ...
hal-01867958v1
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Estimation of error covariance matrices in data assimilationRIKEN International Workshop on Uncertainty Quantification (UQWS), Feb 2018, Kobe, Japan
Conference papers
hal-01824227v1
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