Alberto Carrassi

发表

Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error

Colin Grudzien, Alberto Carrassi, Marc Bocquet, 2017, SIAM/ASA J. Uncertain. Quantification.

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model pdf

Marc Bocquet, Alberto Carrassi, Laurent Bertino, 2019, J. Comput. Sci..

Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution

Karthik S. Gurumoorthy, Christopher K. R. T. Jones, Colin Grudzien, 2015, SIAM J. Control. Optim..

Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update pdf

Christopher K. R. T. Jones, Alberto Carrassi, Christian Sampson, 2020, ArXiv.

Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review

Marc Bocquet, Takemasa Miyoshi, Alberto Carrassi, 2018, 1807.11221.

Combining data assimilation and machine learning to infer unresolved scale parametrization

Marc Bocquet, Alberto Carrassi, Laurent Bertino, 2020, Philosophical Transactions of the Royal Society A.

Linking the Anomaly Initialization Approach to the Mapping Paradigm: A Proof-of-Concept Study

Alberto Carrassi, Francisco J. Doblas-Reyes, Robin J. T. Weber, 2015 .

Accounting for model error due to unresolved scales within ensemble Kalman filtering

Alberto Carrassi, Lewis Mitchell, A. Carrassi, 2014, 1409.0589.

Data Assimilation for Chaotic Dynamics

Marc Bocquet, Colin Grudzien, Alberto Carrassi, 2020, Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV).

Developing a dynamically based assimilation method for targeted and standard observations

Alberto Carrassi, Francesco Uboldi, Anna Trevisan, 2005 .

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

Marc Bocquet, Alberto Carrassi, Laurent Bertino, 2020, J. Comput. Sci..

Data assimilation as a deep learning tool to infer ODE representations of dynamical models

Alberto Carrassi, Marc Bocquet, Laurent Bertino, 2019 .

Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

Marc Bocquet, Alberto Carrassi, Laurent Bertino, 2019, Nonlinear Processes in Geophysics.

On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter

Marc Bocquet, Alberto Carrassi, Stephane Vannitsem, 2020 .

Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace

Karthik S. Gurumoorthy, Christopher K. R. T. Jones, Colin Grudzien, 2016, SIAM/ASA J. Uncertain. Quantification.

Treatment of the Error due to Unresolved scales in Sequential Data Assimilation

Alberto Carrassi, Stéphane Vannitsem, S. Vannitsem, 2011, Int. J. Bifurc. Chaos.

Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem

Michael Ghil, Juan Ruiz, Alberto Carrassi, 2017, Quarterly Journal of the Royal Meteorological Society.

Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning

Marc Bocquet, Alberto Carrassi, Laurent Bertino, 2020, ArXiv.

Full-field and anomaly initialization using a low-order climate model: a comparison and proposals for advanced formulations

Francisco J. Doblas-Reyes, Alberto Carrassi, Muhammad Asif, 2014 .

Improving weather and climate predictions by training of supermodels

Alberto Carrassi, Frank Selten, Noel Keenlyside, 2019 .

Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO - v.1

Alberto Carrassi, Francine Janneke Schevenhoven, A. Carrassi, 2021, Geoscientific Model Development.

Inferring the instability of a dynamical system from the skill of data assimilation exercises

Valerio Lucarini, Alberto Carrassi, Yumeng Chen, 2021, Nonlinear Processes in Geophysics.

Machine Learning for Earth System Observation and Prediction

Massimo Bonavita, Rossella Arcucci, Bertrand Le Saux, 2021, Bulletin of the American Meteorological Society.

A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

Takemasa Miyoshi, Alberto Carrassi, Marc Bocquet, 2018 .

The maximum likelihood ensemble filter performances in chaotic systems

Dusanka Zupanski, Alberto Carrassi, Milija Zupanski, 2008 .

Accounting for Model Error in Variational Data Assimilation: A Deterministic Formulation

Alberto Carrassi, Stéphane Vannitsem, S. Vannitsem, 2010 .

Controlling instabilities along a 3DVar analysis cycle by assimilating in the unstable subspace: a comparison with the EnKF

Alberto Carrassi, Olivier Talagrand, Anna Trevisan, 2008, 0804.2136.

Estimating model evidence using data assimilation

Michael Ghil, Alberto Carrassi, Marc Bocquet, 2016, 1605.01526.

Deterministic treatment of model error in geophysical data assimilation

Alberto Carrassi, S. Vannitsem, A. Carrassi, 2015, 1503.00842.

Short time augmented extended Kalman filter for soil analysis: a feasibility study

Piet Termonia, Alberto Carrassi, Rafiq Hamdi, 2011 .

Lyapunov vectors and assimilation in the unstable subspace: theory and applications

Alberto Carrassi, Luigi Palatella, Anna Trevisan, 2013 .

Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system

Alberto Carrassi, Anna Trevisan, A. Carrassi, 2007 .

Extending the Square Root Method to Account for Additive Forecast Noise in Ensemble Methods

Alberto Carrassi, Laurent Bertino, Patrick N. Raanes, 2015, 1507.06201.

Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods

Alberto Carrassi, Marc Bocquet, Manuel Pulido, 2017, 1709.07328.

Data assimilation as a nonlinear dynamical systems problem: stability and convergence of the prediction-assimilation system.

Michael Ghil, Alberto Carrassi, Anna Trevisan, 2007, Chaos.

Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system

Alberto Carrassi, Anna Trevisan, Francesco Uboldi, 2007 .