
Flow dependence in global data assimilation systems
Andrew Lorenc, Met Office Ideas for adding flow-dependence to the Met Office VAR system
Jim Purser, NCEP Covariance modelling in a grid-point analysis
Mike Fisher, ECMWF Use of analysis ensembles in estimating flow-dependent background error variances
Ensemble approaches
Mark Buehner, Environment Canada Ensemble Jb modelling
Jeff Whitaker, NOAA/ESRL Impacts of flow-dependent background-error covariances in the NCEP Global Forecast System
Lars Isaksen, ECMWF Use of analysis ensembles in estimating flow-dependent background error variances
Istvan Szunyogh, U. Maryland Implementation of the LETKF on the NCEP Global Forecast System
Change of variable approaches
Ian Roulstone, U. Surrey Flow-dependent transforms	n.a.
Ross Bannister, U. Reading A regime-dependent balanced control variable based on potential vorticity
Magnus Lindskog, HIRLAM Background errors in HIRLAM variational data assimilation
Luc Fillion, Environment Canada Diabatic omega equation
Elias Holm, ECMWF Humidity control variable and total water
Implementation issues
Olivier Pannekoucke, Meteo France Spatial filtering of analysis ensemble statistics
Andreas Rhodin, DWD Representation of inhomogeneous, non-separable covariances by sparse wavelet transformed matrices
Martin Leutbecher Ensemble forecasting and flow-dependent estimates of initial uncertainty

13.06.2007

Presentations - Workshop on Flow-dependent aspects of data assimilation

Flow dependence in global data assimilation systems