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Pierre Tandeo
6
Documents
Identifiants chercheurs
- pierre-tandeo
- 0000-0003-1647-8239
- Google Scholar : https://scholar.google.fr/citations?user=GpNNnJcAAAAJ&hl=fr&oi=ao
- IdRef : 148730337
Présentation
[https://tandeo.wordpress.com/](https://tandeo.wordpress.com/ "My research website")
[https://www.researchgate.net/](https://www.researchgate.net/ "My ResearchGate")
[https://github.com/ptandeo](https://github.com/ptandeo "My GitHub")
[https://tandeo.wordpress.com/](https://tandeo.wordpress.com/ "Mon site web de recherche")
[https://www.researchgate.net/](https://www.researchgate.net/ "Ma page ResearchGate")
[https://github.com/ptandeo](https://github.com/ptandeo "Ma page GitHub")
Publications
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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⟩
Article dans une revue
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⟩
Article dans une revue
hal-01773980v1
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DADA: Data Assimilation for the Detection and Attribution of weather- and climate-related eventsClimatic Change, 2016, 136 (2), pp.155-174. ⟨10.1007/s10584-016-1595-3⟩
Article dans une revue
hal-01356197v1
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Model error in geophysical data assimilation - Some ideasISDA2019 : 7th International Symposium on Data Assimilation, Jan 2019, Kobe, Japan
Communication dans un congrès
hal-02156742v1
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Estimation of error covariance matrices in data assimilationRIKEN International Workshop on Uncertainty Quantification (UQWS), Feb 2018, Kobe, Japan
Communication dans un congrès
hal-01824227v1
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Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review2018
Pré-publication, Document de travail
hal-01867958v1
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