Biblio
Filtre: Forfatter er Carrassi, Alberto [Slett Alle Filtre]
Estimating model evidence using data assimilation. Quarterly Journal of the Royal Meteorological Society 143, (2017).
Developing a dynamically based assimilation method for targeted and standard observations. Nonlinear Processes in Geophysics 12, 149 - 156 (2005).
Deterministic Treatment of Model Error in Geophysical Data Assimilation. Mathematical Paradigms of Climate Science (2016).doi:10.1007/978-3-319-39092-5_9
Degenerate Kalman filter error covariances and their convergence onto the unstable subspace. SIAM/ASA Journal on Uncertainty Quantification (JUQ) 5, (2017).
Data-Assimilation by delay-coordinate nudging. Quarterly Journal of the Royal Meteorological Society 142, (2016).
Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change (2018).doi:doi: 10.1002/wcc.535
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).
DADA: data assimilation for the detection and attribution of weather and climate-related events. Climatic Change 136, (2016).
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).
Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model. Monthly Weather Review 137, 693 - 709 (2009).
Comparison of ensemble-based and variational-based data assimilation schemes in a quasi-geostrophic model. 86th AMS annual meeting (2006).
Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, (2021). Abstract
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).
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error. Nonlinear processes in geophysics 25, (2018).
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS) 2, (2020). Abstract
Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA Journal on Uncertainty Quantification (JUQ) 6, (2018).
Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system. Tellus A 591583107575131948751213, 101 - 113 (2007).
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures. Quarterly Journal of the Royal Meteorological Society 145, (2019).
Accounting for Model Error in Variational Data Assimilation: A Deterministic Formulation. Monthly Weather Review 138, 3369 - 3386 (2010).
Accounting for Model Error in Data Assimilation. Oberwolfach Reports. Mathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation 9, 3417 - 3471 (2012).
Accounting for model error due to unresolved scales within ensemble Kalman filtering. Quarterly Journal of the Royal Meteorological Society 141, (2015).
