Biblio
Filters: Author is Carrassi, Alberto [Clear All Filters]
Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution. SIAM Journal of Control and Optimization 55, (2017).
DADA: data assimilation for the detection and attribution of weather and climate-related events. Climatic Change 136, (2016).
Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem. Quarterly Journal of the Royal Meteorological Society 145, (2019).
Accounting for model error due to unresolved scales within ensemble Kalman filtering. Quarterly Journal of the Royal Meteorological Society 141, (2015).
Lyapunov vectors and assimilation in the unstable subspace: theory and applications. Journal of Physics A: Mathematical and Theoretical 46, 254020 (2013).
Data-Assimilation by delay-coordinate nudging. Quarterly Journal of the Royal Meteorological Society 142, (2016).
A Study on the Forecast Quality of the Mediterranean Cyclones. Proceedings of the 4th EGS Plinius Conference (2002).
Toward an estimation of the relationship between cyclonic structures and damages at the ground in Europe. Natural Hazards and Earth System Science 9, 823 - 829 (2009).
A study on cut-off low vertical structure and precipitation in the Mediterranean region. Meteorology and Atmospheric Physics 96, 121 - 140 (2007).
Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods. Tellus A: Dynamic Meteorology and Oceanography 70, (2018).
Extending the square root method to account for additive forecast noise in ensemble methods. Monthly Weather Review 143, (2015). Abstract
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures. Quarterly Journal of the Royal Meteorological Society 145, (2019).
Improving weather and climate predictions by training of supermodels. Earth System Dynamics (ESD) 10, (2019).
Improving weather and climate predictions by training of supermodels. Earth System Dynamics (2019).
Developing a dynamically based assimilation method for targeted and standard observations. Nonlinear Processes in Geophysics 12, 149 - 156 (2005).
Linking the anomaly initialization approach to the mapping paradigm: A proof-of-concept study. Monthly Weather Review 143, (2015).
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).
Scientific challenges of convective-scale numerical weather prediction. Bulletin of The American Meteorological Society - (BAMS) (2018).doi:10.1175/BAMS-D-17-0125.1 Abstract
