Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
Sibo Cheng
,
Mingming Qiu
Article dans une revue
hal-03598308v1
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Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device
Yilin Zhuang
,
Sibo Cheng
,
Nina Kovalchuk
,
Mark Simmons
,
Omar K Matar
,
et al.
Article dans une revue
hal-03953917v1
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Iterative methods for improving error covariance modeling in variational assimilation
Jean-Philippe Argaud
,
Sibo Cheng
,
Bertrand Iooss
,
Didier Lucor
,
Angélique Ponçot
International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) , Manolis Papadrakakis; Vissarion Papadopoulos; Georgios Stefanou, Jun 2019, Crete, Greece
Communication dans un congrès
hal-02397315v1
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Error covariance specification and localization in data assimilation with industrial application
Sibo Cheng
Thèse
tel-03117151v1
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A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
Sibo Cheng
,
Jean-Philippe Argaud
,
Bertrand Iooss
,
Angélique Ponçot
,
Didier Lucor
Article dans une revue
meteo-02460851v2
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MACHINE LEARNING BASED SURROGATE MODELLING AND PARAMETER IDENTIFICATION FOR WILDFIRE FORECASTING
Sibo Cheng
,
Rossella Arcucci
ICLR, AI for Earth and Space Science, 2022 , Apr 2022, Online, United States
Poster de conférence
hal-03680833v1
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Error covariance tuning in variational data assimilation: application to an operating hydrological model
Sibo Cheng
,
Jean-Philippe Argaud
,
Bertrand Iooss
,
Didier Lucor
,
Angélique Ponçot
Article dans une revue
hal-02992507v1
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