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Symposium Program

Monday September 29, 2003

8:30 - Welcome  
Session A – Theory of data assimilation
8:45 - Talagrand O. (Invited) On the basics of data assimilation
9:35 - Lorenc A. (Invited) Practical modelling of time-evolved covariances
10:25 Break (20 min)
10:45 – Buehner M. Use of Ensemble Statistics in Variational Data Assimilation
Session B – Ensemble Kalman filtering
11:05 – Mitchell H. (Invited) An ensemble Kalman filter for operational atmospheric data assimilation
12:00 – 13:20 Lunch in the Dinning Room
13:20 – Bishop C. Amelioration of bias in the Ensemble Transform Kalman Filter
13:40 – Anderson J. A Self-Calibrating, Error-Tolerant Ensemble Filtering System
14:00 – McLaughlin D. Optimality of the Ensemble Kalman Filter for Land Surface Data Assimilation
Session C – Observation-space data assimilation methods and diagnostics
14:20 – Courtier P. (Invited) (T.B.A.)
15:10 – Break (20 min)
15:30 – Dee D. (Invited) Statistical diagnostics in observation space
16:20 – Tranchant B.

The Mercator Assimilation System (SAM): A modular assimilation system for operational oceanography
16:40 – Xu L. Formulation and Initial Testing of NAVDAS-AR
17:00 – Cardinali C. Influence matrix diagnostic for monitoring assimilation system performance
17:20 – End of oral presentations for the day
18:00 – 19:30 Buffet Dinner in the Dinning Room
19:30 – 21:00 Poster session (Reading Room)

Tuesday, September 30, 2003

Session D – Operational data assimilation systems
8:30 - Hollingsworth A. (Invited) Reflections on Roger Daley’s work at ECMWF
9:20 - Barker E. (Invited) The Navy Atmospheric Variational Data Assimilation System
10:10 – Gauthier P.

Preliminary results with the pre-operational 4D variational assimilation system of the Meteorological Service of Canada
10:30 – Break (20 min)
10:50 – Purser J.

A scheme for the characterization and synthesis of anisotropic background error covariances suitable for adaptive variational assimilation
11:10 – Weaver A. Multivariate, flow-dependent covariance modeling for variational ocean data assimilation
11:30 – Li Z. A three-dimensional variational data assimilation system for coastal oceans
11:50 – Barker D. A 3DVAR system for the mesoscale data assimilation research and operational communities
12:10 – 13:30 Buffet lunch in the Dinning Room
Session E – Balance
13:30 – Errico R, and S. Polavarapu (Invited) The continuing importance of considering dynamical balances
14:20 – Neef L. Four-dimensional data assimilation and balanced dynamics: Illustrations with a simple model
14:40 – Machenhauer B.

Data-assimilation problems in connection with the determination of systematic initial model tendency errors from six-hourly reanalyzes
15:00 – Aonashi K.

Variational assimilation of TMI rain type and precipitation retrievals into global numerical weather prediction
15:20 – Clayton A. Gravity wave control in the UK Met Office’s 4D-Var system
15:40 – Break (20 min)
Session F- Sensitivity analysis
16:00 – Baker N. (Invited) Sensitivity Analysis in the Context of Data Assimilation
16:50 – Reynolds C. Singular vectors with an analysis variance metric
17:10 – Mahfouf J.-F. Linearized diabatic processes for variational data assimilation
Session G- Land-surface assimilation
17:30 – Balsamo G.

Simplified 2D-VAR analysis of soil moisture from screen-level observations for the initialization of NWP models
17:50 – Sun C.

Uncertainty analysis of passive microwave snow water equivalent observations and its assimilation into a land surface model
18:10 - End of oral presentations for the day
19:00 – 21:00 Banquet in the Dinning Room

Wednesday, October 1st 2003

Session H – New developments in data assimilation
8:30 – Menard R. (Invited) Evolution of error variances for chemical data assimilation
9:20 – Khattatov B. Utilization of satellite data in tropospheric chemistry and transport modeling: Assimilation, bias estimation and surface fluxes inversion.
9:40 – Polavarapu S. Development of a middle atmosphere data assimilation system
10:00 – Houben H. Planetary meteorology by onboard sequential assimilation
10:20 – Break (20min)
10:40 – Matsuo T.

Optimal interpolation analysis of high-altitude ionospheric electrodynamic variables using EOF bases and maximum likelihood method for error covariance estimation.
11:00 – Karspeck A. Low-dimensional adjoint approach to initializing El Nino forecasts
11:20 - Adjourn

Poster presentations

Carrassi A.
Data-Assimilation and the stability of the observation-analysis-forecast cycle solution
Deng X.
Application of the mother-daughter approach to the coastal mountains in BC
Heimbach P.
The ECCO ocean state estimation system: a dynamical consistent WOCE-data versus MITgcm-model synthesis based on the adjoint technique
Pétron G.
Inverse Modeling of CO Sources Using MOPITT Data
Kerry S. R.
Data Assimilation by Field Alignment
Ricci S.
I n c o r p o r ating flow- d e p e n d e n t Te m p e r ature - Salinity constraints in the background error covariance of va r i ational ocean data assimilat i o n
Robichaud A.
An objective analysis scheme of surface ozone at CMC
Syndergaard S.
An observation operator for the assimilation of satellite occultation data
Tangborn A.
Experimental Studies in Assimilation of Wind Speed Observations
Wakamatsu T.
Estimating North Pacific ocean circulation with the representer data assimilation technique
Wan J. Estimation of Initial Condition and Parameter in Physical ”On-Off” Processes by Adjoint Variational Data Assimilation
Xu Q,
New Statistical Analyses of Innovation Vectors
Xiaobao Y.
An Ocean Data Assimilation System for the the China Sea
Zhou G.
Estimating background error covariances from model outputs for oceanic data assimilation