Overview
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| A. Simmons (ECMWF) Observations, assimilation and the
improvement of global weather prediction |
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| F. Rabier (Meteo-France) Variational data assimilation:
theory and overview |
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| M. Fisher (ECMWF) Background error modelling |
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| D. Dee (ECMWF; on leave from NASA-GMAO) Detection and
correction of model bias during data assimilation |
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| J N.Thepaut (ECMWF) Satellite data assimilation overview |
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Validation and diagnostics
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| R. Dumelow (UKMO) Overview of observing system experiments |
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| O. Talagrand (LMD) Objective validation and evaluation
of data assimilation |
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| C. Cardinali (ECMWF) Influence matrix diagnostic for
monitoring assimilation system performance |
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E. Andersson (ECMWF) Modelling of innovation statistics
Including physical processes |
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| P. Houser (NASA-OH) Land data assimilation |
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| M. Janiskova (ECMWF) Physical processes in adjoint models
- potential pitfalls and benefits |
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J. Derber (NOAA) Flow dependent Jb in a grid-point 3D-Var
Ensemble data assimilation |
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| P. Houtekamer (CMC) Practical ensemble data assimilation |
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| A. Lorenc (Met Office) Relative merits of 4DVar and
Ensemble methods |
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| G. Evensen (Nansen) The EnKF: theoretical formulation
and practical implementation |
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| P J Leeuwen (U. of Utrecht) Nonlinear ensemble data
assimilation for the ocean |
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Other new developments
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| A. Weaver (CERFACS) Constructing a background error
covariance model for variational ocean data assimilation |
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| M. Balmaseda (ECMWF) Ocean Data Assimilation for Seasonal
Forecasts |
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| H. Eskes (KNMI) Stratosphere and chemistry |
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| Y. Tremolet (ECMWF) Model error in variational data
assimilation |
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| B. Farrell (Harvard) The reduced rank Kalman filter
based on balanced truncation |
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| M. Leutbecher (ECMWF) Adaptive observations, the Hessian
metric and singular vectors |
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| L. Isaksen (ECMWF) Realism of sensitivity patterns |
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Applications
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| N. Gustafsson (SMHI) Current Limited Area applications |
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| F. Bouttier (Meteo-France) The AROME mesoscale project |
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| A. Hollingsworth (ECMWF) The GEMS perspective |
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