Foto del docente

Natale Alberto Carrassi

Professore associato

Dipartimento di Fisica e Astronomia "Augusto Righi"



De Lannoy, Gabriëlle J. M.; Bechtold, Michel; Albergel, Clément; Brocca, Luca; Calvet, Jean-Christophe; Carrassi, Alberto; Crow, Wade T.; de Rosnay, Patricia; Durand, Michael; Forman, Barton; Geppert, Gernot; Girotto, Manuela; Hendricks Franssen, Harrie-Jan; Jonas, Tobias; Kumar, Sujay; Lievens, Hans; Lu, Yang; Massari, Christian; Pauwels, Valentijn R. N.; Reichle, Rolf H.; Steele-Dunne, Susan, Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication, «FRONTIERS IN WATER», 2022, 4, Article number: 981745, pp. 1 - 14 [articolo]Open Access

Schevenhoven, Francine; Carrassi, Alberto, Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1, «GEOSCIENTIFIC MODEL DEVELOPMENT», 2022, 15, pp. 3831 - 3844 [articolo]Open Access

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., An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation, «FOUNDATIONS OF DATA SCIENCE», 2021, 3, pp. 413 - 477 [articolo]Open Access

Brajard J.; Carrassi A.; Bocquet M.; Bertino L., Combining data assimilation and machine learning to infer unresolved scale parametrization, «PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A: MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES», 2021, 379, Article number: 20200086, pp. 1 - 16 [articolo]Open Access

Sampson C.; Carrassi A.; Aydogdu A.; Jones C.K.R.T., Ensemble Kalman filter for nonconservative moving mesh solvers with a joint physics and mesh location update, «QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY», 2021, 147, pp. 1539 - 1561 [articolo]Open Access

Chen Y.; Carrassi A.; Lucarini V., Inferring the instability of a dynamical system from the skill of data assimilation exercises, «NONLINEAR PROCESSES IN GEOPHYSICS», 2021, 28, pp. 633 - 649 [articolo]Open Access

Bonavita M.; Arcucci R.; Carrassi A.; Dueben P.; Geer A.J.; Le Saux B.; Longepe N.; Mathieu P.-P.; Raynaud L., Machine learning for earth system observation and prediction, «BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY», 2021, 102, pp. E710 - E716 [articolo]Open Access

TANDEO P.; AILLIOT P.; BOCQUET M.; CARRASSI A.; MIYOSHI T.; PULIDO M.; ZHEN Y., A review of innovation-based methods to jointly estimate model and observation error covariance matrices in ensemble data assimilation, «MONTHLY WEATHER REVIEW», 2020, 148, pp. 3973 - 3994 [articolo]Open Access

Bocquet, Marc; Brajard, Julien; Carrassi, Alberto; Bertino, Laurent, Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization, «FOUNDATIONS OF DATA SCIENCE», 2020, 2, pp. 55 - 80 [articolo]Open Access

Brajard J.; Carrassi A.; Bocquet M.; Bertino L., Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model, «JOURNAL OF COMPUTATIONAL SCIENCE», 2020, 44, Article number: 101171, pp. 1 - 11 [articolo]Open Access

Tondeur M.; Carrassi A.; Vannitsem S.; Bocquet M., On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter, «JOURNAL OF STATISTICAL PHYSICS», 2020, 179, pp. 1161 - 1185 [articolo]Open Access

Grudzien C.; Bocquet M.; Carrassi A., On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments, «GEOSCIENTIFIC MODEL DEVELOPMENT», 2020, 13, pp. 1903 - 1924 [articolo]Open Access

Sukun Cheng; Ali Aydoğdu; Pierre Rampal; Alberto Carrassi; Laurent Bertino, Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion, «OCEANS», 2020, 1, pp. 326 - 342 [articolo]Open Access

Raanes P.N.; Bocquet M.; Carrassi A., Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures, «QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY», 2019, 145, pp. 53 - 75 [articolo]

Bocquet M.; Brajard J.; Carrassi A.; Bertino L., Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models, «NONLINEAR PROCESSES IN GEOPHYSICS», 2019, 26, pp. 143 - 162 [articolo]Open Access