Daniel Ayers; Jack Lau; Javier Amezcua; Alberto Carrassi; Varun Ojha, Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents, «QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY», 2023, 149, pp. 1236 - 1262 [articolo]Open Access
Baguis, Pierre; Carrassi, Alberto; Roulin, Emmanuel; Vannitsem, Stéphane; Modanesi, Sara; Lievens, Hans; Bechtold, Michel; De Lannoy, Gabrielle De, Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data, «REMOTE SENSING», 2022, 14, Article number: 5740, pp. 1 - 26 [articolo]Open Access
Carrassi, Alberto; Bocquet, Marc; Demaeyer, Jonathan; Grudzien, Colin; Raanes, Patrick; Vannitsem, Stéphane, Data Assimilation for Chaotic Dynamics, in: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), N/A, Springer International Publishing, 2022, pp. 1 - 42 [capitolo di libro]Open Access
Scheffler G.; Carrassi A.; Ruiz J.; Pulido M., Dynamical effects of inflation in ensemble-based data assimilation under the presence of model error, «QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY», 2022, 148, pp. 2368 - 2383 [articolo]Open Access
Natale Alberto Carrassi, IMPROVING PANDEMIC FORECASTS - ASSIMILATING OBSERVATIONS AND SIMULATIONS, in: Mathematics for action: supporting science-based decision-making, N/A, UNESCO, 2022, pp. 9 - 10 [capitolo di libro]Open Access
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
