Alberto Carrassi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Covariance Matrices

Dynamical Systems

Data Assimilation

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Sci.

Publications

Simon Driscoll, Alberto Carrassi, Julien Brajard, Laurent Bertino, Marc Bocquet, Einar Örn Ólason
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. J. Comput. Sci. 79 (2024)
Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR (2023)
Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10 (6) (2023)
Pierre Baguis, Alberto Carrassi, Emmanuel Roulin, Stéphane Vannitsem, Sara Modanesi, Hans Lievens, Michel Bechtold, Gabrielle De Lannoy
Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data. Remote. Sens. 14 (22) (2022)
Axel Hutt, Marc Bocquet, Alberto Carrassi, L. Lei, Roland Potthast
Editorial: Data Assimilation of Nonlocal Observations in Complex Systems. Frontiers Appl. Math. Stat. 7 (2021)
Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. CoRR (2020)
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model. CoRR (2020)
Christian Sampson, Alberto Carrassi, Ali Aydogdu, Christopher K. R. T. Jones
Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update. CoRR (2020)
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. J. Comput. Sci. 44 (2020)
Colin Grudzien, Alberto Carrassi, Marc Bocquet
Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Marc Bocquet, Karthik S. Gurumoorthy, Amit Apte, Alberto Carrassi, Colin Grudzien, Christopher K. R. T. Jones
Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Karthik S. Gurumoorthy, Colin Grudzien, Amit Apte, Alberto Carrassi, Christopher K. R. T. Jones
Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution. SIAM J. Control. Optim. 55 (2) (2017)
Alberto Carrassi, Stéphane Vannitsem
Treatment of the Error due to Unresolved scales in Sequential Data Assimilation. Int. J. Bifurc. Chaos 21 (12) (2011)