Biblio
Filtre: Forfatter er Carrassi, Alberto [Slett Alle Filtre]
Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics 26, (2019).
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science 2, (2020). Abstract
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear processes in geophysics 26, (2019).
Degenerate Kalman filter error covariances and their convergence onto the unstable subspace. SIAM/ASA Journal on Uncertainty Quantification (JUQ) 5, (2017).
Four-dimensional ensemble variational data assimilation and the unstable subspace. Tellus. Series A, Dynamic meteorology and oceanography 69, (2017).
Connections between data assimilation and machine learning to emulate a numerical model. (2019).doi:10.5065/y82j-f154
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 44, (2020).
Accounting for Model Error in Variational Data Assimilation: A Deterministic Formulation. Monthly Weather Review 138, 3369 - 3386 (2010).
Sources of skill in near-term climate prediction: generating initial conditions. Climate Dynamics 47, (2016).
Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system. Tellus A 591583107575131948751213, 101 - 113 (2007).
Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change (2018).doi:doi: 10.1002/wcc.535
State and parameter estimation with the extended Kalman filter: an alternative formulation of the model error dynamics. Quarterly Journal of the Royal Meteorological Society 137, 435 - 451 (2011).
Accounting for Model Error in Data Assimilation. Oberwolfach Reports. Mathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation 9, 3417 - 3471 (2012).
Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system. Chaos: An Interdisciplinary Journal of Nonlinear Science 18, 023112 (2008).
TREATMENT OF THE ERROR DUE TO UNRESOLVED SCALES IN SEQUENTIAL DATA ASSIMILATION. International Journal of Bifurcation and Chaos 21, 3619 - 3626 (2011).
Controlling instabilities along a 3DVar analysis cycle by assimilating in the unstable subspace: a comparison with the EnKF. Nonlinear Processes in Geophysics 15, 503 - 521 (2008).
Estimating model evidence using data assimilation. Quarterly Journal of the Royal Meteorological Society 143, (2017).
Deterministic Treatment of Model Error in Geophysical Data Assimilation. (2016).doi:10.1007/978-3-319-39092-5_9
Short time augmented extended Kalman filter for soil analysis: a feasibility study. Atmospheric Science Letters 13, 268 - 274 (2012).
Model error and sequential data assimilation: A deterministic formulation. Quarterly Journal of the Royal Meteorological Society 134, 1297 - 1313 (2008).
The maximum likelihood ensemble filter performances in chaotic systems. Tellus A 61, 587 - 600 (2009).
Full-field and anomaly initialization using a low-order climate model: a comparison and proposals for advanced formulations. Nonlinear Processes in Geophysics 21, 521 - 537 (2014).
Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA Journal on Uncertainty Quantification (JUQ) 6, (2018).
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error. Nonlinear processes in geophysics 25, (2018).
