Biblio
Filters: Author is Carrassi, Alberto [Clear All Filters]
TREATMENT OF THE ERROR DUE TO UNRESOLVED SCALES IN SEQUENTIAL DATA ASSIMILATION. International Journal of Bifurcation and Chaos 21, 3619 - 3626 (2011).
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).
On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter. Journal of statistical physics (2020).doi:10.1007/s10955-020-02525-z
A Study on the Forecast Quality of the Mediterranean Cyclones. Proceedings of the 4th EGS Plinius Conference (2002).
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. Series A, Dynamic meteorology and oceanography 70, (2018).
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).
Sources of skill in near-term climate prediction: generating initial conditions. Climate Dynamics 47, (2016).
Short time augmented extended Kalman filter for soil analysis: a feasibility study. Atmospheric Science Letters 13, 268 - 274 (2012).
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
Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution. SIAM Journal of Control and Optimization 55, (2017).
Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans (2020).doi:10.3390/oceans1040022
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments. Geoscientific Model Development 13, (2020).
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).
Lyapunov vectors and assimilation in the unstable subspace: theory and applications. Journal of Physics A: Mathematical and Theoretical 46, 254020 (2013).
Linking the anomaly initialization approach to the mapping paradigm: A proof-of-concept study. Monthly Weather Review 143, (2015).
An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation. Foundations of Data Science (FoDS) (2020).doi:10.3934/fods.2021001 Abstract
Improving weather and climate predictions by training of supermodels. Earth System Dynamics (2019).
Improving weather and climate predictions by training of supermodels. Earth System Dynamics 10, (2019).
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).
Four-dimensional ensemble variational data assimilation and the unstable subspace. Tellus. Series A, Dynamic meteorology and oceanography 69, (2017).
