CARRASSI, NATALE ALBERTO
CARRASSI, NATALE ALBERTO
DIPARTIMENTO DI FISICA E ASTRONOMIA "AUGUSTO RIGHI"
Docenti di ruolo di IIa fascia
A review of innovation-based methods to jointly estimate model and observation error covariance matrices in ensemble data assimilation
2020 TANDEO P.; AILLIOT P.; BOCQUET M.; CARRASSI A.; MIYOSHI T.; PULIDO M.; ZHEN Y.
A study on cut-off low vertical structure and precipitation in the Mediterranean region
2007 F. PORCU'; A. Carrassi; C. M. Medaglia; F. PRODI; A. Mugnai
Accounting for model error due to unresolved scales within ensemble Kalman filtering
2015 Mitchell L.; Carrassi A.
Accounting for model error in data assimilation.
2012 Alberto Carrassi
Accounting for model error in variational data assimilation: A deterministic formulation
2010 Carrassi A.; Vannitsem S.P.
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
2019 Raanes P.N.; Bocquet M.; Carrassi A.
Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system
2007 Carrassi A.; Trevisan A.; Uboldi F.
An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation
2021 Evensen, Geir; Amezcua, Javier; Bocquet, Marc; Carrassi, Alberto; Farchi, Alban; Fowler, Alison; Houtekamer, Pieter L.; Jones, Christopher K.; de Moraes, Rafael J.; Pulido, Manuel; Sampson, Christian; Vossepoel, Femke C.
Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020
2023 Cheng, Sukun; Chen, Yumeng; Aydoğdu, Ali; Bertino, Laurent; Carrassi, Alberto; Rampal, Pierre; Jones, Christopher K. R. T.
Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data
2022 Baguis, Pierre; Carrassi, Alberto; Roulin, Emmanuel; Vannitsem, Stéphane; Modanesi, Sara; Lievens, Hans; Bechtold, Michel; De Lannoy, Gabrielle De
Asymptotic forecast uncertainty and the unstable subspace in the presence of additive model error
2018 Grudzien C.; Carrassi A.; Bocquet M.
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
2020 Bocquet, Marc; Brajard, Julien; Carrassi, Alberto; Bertino, Laurent
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
2018 Grudzien C.; Carrassi A.; Bocquet M.
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
2020 Brajard J.; Carrassi A.; Bocquet M.; Bertino L.
Combining data assimilation and machine learning to infer unresolved scale parametrization
2021 Brajard J.; Carrassi A.; Bocquet M.; Bertino L.
Comparison of local ensemble transform Kalman filter, 3DVAR, and 4DVAR in a quasigeostrophic model
2009 Yang S.-C.; Corazza M.; Carrassi A.; Kalnay E.; Miyoshi T.
Controlling instabilities along a 3DVar analysis cycle by assimilating in the unstable subspace: A comparison with the EnKF
2008 Carrassi A.; Trevisan A.; Descamps L.; Talagrand O.; Uboldi F.
DADA: data assimilation for the detection and attribution of weather and climate-related events
2016 Hannart A.; Carrassi A.; Bocquet M.; Ghil M.; Naveau P.; Pulido M.; Ruiz J.; Tandeo P.
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
2019 Bocquet M.; Brajard J.; Carrassi A.; Bertino L.
Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system
2008 Carrassi A.; Ghil M.; Trevisan A.; Uboldi F.