Alberto Carrassi
Alberto Carrassi
University of Reading and University of Utrecht
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Data assimilation in the geosciences: An overview of methods, issues, and perspectives
A Carrassi, M Bocquet, L Bertino, G Evensen
Wiley Interdisciplinary Reviews: Climate Change 9 (5), e535, 2018
Comparison of local ensemble transform Kalman filter, 3DVAR, and 4DVAR in a quasigeostrophic model
SC Yang, M Corazza, A Carrassi, E Kalnay, T Miyoshi
Monthly Weather Review 137 (2), 693-709, 2009
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 Brajard, A Carrassi, M Bocquet, L Bertino
Journal of Computational Science 44, 101171, 2020
A study on cut-off low vertical structure and precipitation in the Mediterranean region
F Porcù, A Carrassi, CM Medaglia, F Prodi, A Mugnai
Meteorology and Atmospheric Physics 96 (1), 121-140, 2007
Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system
A Carrassi, M Ghil, A Trevisan, F Uboldi
Chaos: An Interdisciplinary Journal of Nonlinear Science 18 (2), 023112, 2008
Scientific challenges of convective-scale numerical weather prediction
JI Yano, MZ Ziemiański, M Cullen, P Termonia, J Onvlee, L Bengtsson, ...
Bulletin of the American Meteorological Society 99 (4), 699-710, 2018
Accounting for model error in variational data assimilation: A deterministic formulation
A Carrassi, S Vannitsem
Monthly Weather Review 138 (9), 3369-3386, 2010
Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system
A Carrassi, A Trevisan, F Uboldi
Tellus A: Dynamic Meteorology and Oceanography 59 (1), 101-113, 2007
Four-dimensional ensemble variational data assimilation and the unstable subspace
M Bocquet, A Carrassi
Tellus A: Dynamic Meteorology and Oceanography 69 (1), 1304504, 2017
Degenerate Kalman filter error covariances and their convergence onto the unstable subspace
M Bocquet, KS Gurumoorthy, A Apte, A Carrassi, C Grudzien, ...
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 304-333, 2017
DADA: data assimilation for the detection and attribution of weather and climate-related events
A Hannart, A Carrassi, M Bocquet, M Ghil, P Naveau, M Pulido, J Ruiz, ...
Climatic Change 136 (2), 155-174, 2016
Lyapunov vectors and assimilation in the unstable subspace: theory and applications
L Palatella, A Carrassi, A Trevisan
Journal of Physics A: Mathematical and Theoretical 46 (25), 254020, 2013
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
M Bocquet, J Brajard, A Carrassi, L Bertino
Nonlinear Processes in Geophysics 26 (3), 143-162, 2019
State and parameter estimation with the extended Kalman filter: an alternative formulation of the model error dynamics
A Carrassi, S Vannitsem
Quarterly Journal of the Royal Meteorological Society 137 (655), 435-451, 2011
Controlling instabilities along a 3DVar analysis cycle by assimilating in the unstable subspace: a comparison with the EnKF
A Carrassi, A Trevisan, L Descamps, O Talagrand, F Uboldi
Nonlin. Processes Geophys. 15, 503-521, 2008
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
PN Raanes, M Bocquet, A Carrassi
Quarterly Journal of the Royal Meteorological Society 145, 53– 75, 2019
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
M Bocquet, J Brajard, A Carrassi, L Bertino
Foundations of Data Science 2 (1), 55-80, 2020
Extending the square root method to account for additive forecast noise in ensemble methods
L Raanes, P. N., Carrassi, A., and Bertino
Mon. Weather Rev. 143, 3857–38730, 2015
Accounting for model error due to unresolved scales within ensemble Kalman filtering
L Mitchell, A Carrassi
Quarterly Journal of the Royal Meteorological Society 141 (689), 1417-1428, 2015
The maximum likelihood ensemble filter performances in chaotic systems
A Carrassi, S Vannitsem, D Zupanski, M Zupanski
Tellus A: Dynamic Meteorology and Oceanography 61 (5), 587-600, 2008
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