Online formal talks 
Speaker

Title

PDF/PPT

WMV

Abarbanel 
Statistical Data Assimilation: Exact Formulation as a Path Integral and Approximations in Many Examples I 


Abarbanel 
Statistical Data Assimilation: Exact Formulation as a Path Integral and Approximations in Many Examples II 


Bannister 
A Bmatrix for convectivescale variational data assimilation 


Bocquet 
Ensemble Kalman filtering without the intrinsic need for inflation 


Buehner 
The use of ensemble covariances within variational data assimilation for NWP 


Bunse 
Model order reduction in 4DVar data assimilation 


Calvetti 
From steady state to kinetic predictions for brain cellular metabolism 


Chuter 
Modelling the carbon cycle  a dynamical systems approach 


Cullen 
4D VAR in the presence of model error 


Delahaies 
4DVAR for modelling the carbon cycle 


Desroziers 
Accelerating minimizations in ensemble variational assimilation 


Du 
Better data assimilation through gradient descent 


Farmer 
Local Bayesian priors for inverse problems 


Ghil 
Data assimilation: how we got here and where to next? 


Ghil 
Parameter estimation and some new application areas 


Gottwald 
Reduced stochastic climate models for data assimilation 


Gottwald 
Controlling overestimation in ensemble Kalman filters 


Harlim 
Numerical Strategies for Filtering Partially Observed Multiscale Dynamical Systems 


Kleeman 
Mechanisms for predictability variation 


Kleeman 
Targeted observation strategies for prediction improvement in nonlinear and/or nonGaussian regimes 


Kwasniok 
Deriving dynamical models from palaeoclimatic records using nonlinear Kalman filtering: estimation of parameters and noise levels 


Leeuwen 
Particle filters in highdimensional systems 1 


Leeuwen 
Particle filters in highdimensional systems 2 


Lorenc 
Issues in 4DVar for NWP 


Majda 
Mathematical strategies for real time filtering of turbulent dynamical systems I 


Majda 
Mathematical strategies for real time filtering of turbulent dynamical systems II 


Majda 
Mathematical strategies for real time filtering of turbulent dynamical systems III 


Majda 
Mathematical strategies for real time filtering of turbulent dynamical systems IV 


McLaughlin 
The role of model dynamics in ensemble Kalman filter performance for chaotic systems 


Migliorini 
The equivalence between radiance and retrieval assimilation 


Nicholls 
Monte Carlo methods for model parameter estimation which are robust to errors in likelihood evaluation 


Nichols 
Ensemble data assimilation in the presence of switches 


Opper 
Variational approximations to inference in stochastic differential equations 


Purser 
Adaptive Anisotropic Covariance Operators; Construction, Normalization and Implementation in a Parallel Computing Environment 


Somersalo 
DA in cell biology I 


Somersalo 
DA in cell biology II 


Stuart 
Filtering for PDEs I 


Stuart 
Filtering for PDEs II 


Talagrand 
Assimilation in the Unstable Subspace 


Todling 
Use of observation residual statistics for estimating system (model!) error 


Tran 
Parameter estimation in complex biological systems 


Wilkinson 
Bayesian parameter and state estimation for partial observed Markov process models using particle MCMC 


Wojcik 
Proposal replicates for spatially clustered processes 

