Publication
Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation
Publications associées (7)
A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1
Damien Bouffard, Camille Roland Marie Minaudo, Cintia Luz Ramon Casanas, Firat Ozdemir
We present a Bayesian inference for a three-dimensional hydrodynamic model of Lake Geneva with stochastic weather forcing and high-frequency observational datasets. This is achieved by coupling a Bayesian inference package, SPUX, with a hydrodynamics packa ...
COPERNICUS GESELLSCHAFT MBH2022Radar-rain gauge merging and discharge data assimilation for flood forecasting in Alpine catchments
Floods are responsible for one third of the economic losses induced by natural hazards throughout the world. To better protect the population and infrastructures, flood forecasting systems make us of weather forecasts to foresee floods several days in adva ...
EPFL2019A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation
Jean-Yves Le Boudec, Mario Paolone, Lorenzo Zanni
In this paper, we present a new method for the estimation of the prediction-error covariances of a Kalman filter (KF), which is suitable for step-varying processes. The method uses a series of past innovations (i.e., the difference between the upcoming mea ...
Institute of Electrical and Electronics Engineers2017Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation
Mario Paolone, Andreas Martin Kettner
This paper demonstrates the feasibility of implementing real-time state estimators for active distribution networks in field-programmable gate arrays (FPGAs) by presenting an operational prototype. The prototype is based on a linear state estimator that us ...
Institute of Electrical and Electronics Engineers2017Real-time projections of cholera outbreaks through data assimilation and rainfall forecasting
Andrea Rinaldo, Enrico Bertuzzo, Flavio Finger, Damiano Pasetto
Although treatment for cholera is well-known and cheap, outbreaks in epidemic regions still exact high death tolls mostly due to the unpreparedness of health care infrastructures to face unforeseen emergencies. In this context, mathematical models for the ...
Elsevier2016Improved Estimation of the Specific Differential Phase Shift Using a Compilation of Kalman Filter Ensembles
Alexis Berne, Jacopo Grazioli, Marc Schneebeli Zeugin
A new algorithm for the accurate estimation of the specific differential phase shift on propagation (K-dp) from noisy total differential phase shift (Psi(dp)) measurements is presented for data acquired with a polarimetric weather radar. The new approach, ...
Institute of Electrical and Electronics Engineers2014Accuracy and Stability of The Continuous-Time 3DVAR Filter for The Navier-Stokes Equation
The 3DVAR filter is prototypical of methods used to combine observed data with a dynamical system, online, in order to improve estimation of the state of the system. Such methods are used for high dimensional data assimilation problems, such as those arisi ...
2012