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Monday 10 November |
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Poster
Session 1: |
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p1.1 |
Aravequia Jose A.  A080902741.doc |
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p1.2 |
Cosme Emmanuel
:
A080829629.pdf |
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p1.3 |
Ham Yoo-Geun A080830534.pdf |
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POSTER
p1.4 |
Yuki Honda and Ken Sawada
Comparison of a pre-operational 4D-Var with the operational
4D-Var for mesoscale analysis A080926581.doc |
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p1.5 |
Kan Ji-Sun A0810300668.pdf |
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POSTER
p1.6 |
Takuya Kawabata, Tohru Kuroda , Hiromu Seko , Kazuo
Saito. Development and Results of a
Cloud-Resolving Nonhydrostatic 4DVAR Assimilation System
(NHM-4DVAR)
A080901268.pdf |
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p1.7 |
Kazuyuki Miyazaki A080826119.pdf |
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POSTER
p1.8 |
D. McLaughlin, A. Ahanin, D. Entekhabi, P. Malanotte-Rizzoli.
Robust Reduced Rank Filtering for Chaotic Systems |
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POSTER
p1.9 |
Herschel Mitchell and Peter Houtekamer
Can Ensemble Kalman Filter Performance be Improved by Better
Respecting Monte Carlo Principles? A Study with the Logistic
Map. A081020698.pdf |
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POSTER
p1.10 |
Manuel
Pulido. Using four dimensional variational assimilation
to estimate model parameters: subgrid momentum forcing A080319488.pdf |
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p1.11 |
Xu
Liang |
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p1.12 |
Xu
Qin A080707855.doc |
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POSTER
p1.13 |
J. Zavala-Garay, J. Wilkin, H. Arango,
J. Levin, G. Zhang and A. M. Moore. Strong-constraint
variational data assimilation in the Ocean Modeling System
(ROMS)
A081014868.pdf |
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Poster
Session 2: Balance |
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p2.1 |
Bishop Craig |
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POSTER
p2.2 |
Jean-François Caron, Luc Fillion
Accounting for Particular Balance Properties Over
Precipitation Areas within Variational Data Assimilation Systems.
A080927727.pdf |
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POSTER
p2.3 |
Steven J. Greybush,
Eugenia Kalnay, Takemasa Miyoshi
EnKF Localization Techniques and Balance
A080829814.pdf |
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p2.4 |
Krymskaya Mariya |
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POSTER
p2.5 |
B. Powell, A. Moore,
H. Arango, E. Di Lorenzo, R. Milliff
Near Real-Time 4DVAR Assimilation and Ensemble Prediction with ROMS
A080408011.pdf |
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POSTER
p2.6 |
Clemente A. S.
Tanajura and Konstantin Belyaev
A sequential data assimilation method based on the properties of a
diffusion-type process and its applications with the ocean models
MOM4 and HYCOMA080720674.pdf |
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Tuesday 11 November |
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Poster Session 3: Issues of nonlinearity and non-gaussianity |
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POSTER
p3.1 |
Konstantin Belyaev
and Clemente A. S. Tanajura
A sequential Data Assimilation Method Based on Diffusion
Approximation: General and Specific Aspects
A080720649.pdf |
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p3.2 |
Santos Isimar
A080707568.pdf |
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POSTER
p3.3 |
Seung-Jong Baek, Istvan Szunyogh,
Brian R. Hunt and Edward Ott. Correcting for surface
pressure background bias in ensemble-based analyses A080831490.pdf |
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p3.4 |
Vukicevic Tomislava. A080815005.pdf |
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Poster Session
4: Model error and data assimilation
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p4.1 |
Boyouk Neda.
A070903480.pdf |
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POSTER
p4.2 |
Alberto Carrassi,
Stephane Vannitsem and Catherine Nicolis
Model error and sequential data assimilation. A deterministic
formulation
A080901386.pdf |
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p4.3 |
Hanea Remus
A080407627.pdf |
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POSTER
p4.4 |
Martin Verlaan and
Alina Barbu.
Square root filters in the presence of model error |
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Wednesday 12 November |
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Poster Session 5:
Background error
estimation |
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POSTER
p5.1 |
Tijana Janjic, Lars
Nerger and J. Schroeter
On domain localization in ensemble based Kalman Filter algorithms.
A080826828.pdf |
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POSTER
p5.2 |
M. Lindskog, N.
Gustafsson, S. Thorsteinsson, T. Landelius, P. Dahlgren and P. Unden
Background Errors in Hirlam 4D-Var
A080704462.pdf |
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POSTER
p5.3 |
Laure Raynaud, Loik
Berre and Gerald Desroziers
Objective filtering of ensemble-based background-error variances.
A080807356.pdf |
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p5.4 |
Sumihar Julius Harry
A080815539.pdf |
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POSTER
p5.5 |
Genta Ueno and
Takashi Tsuchiya
Covariance regularization through a Gaussian graphical modelA080830378.pdf |
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Poster Session 6: Computational Issues |
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POSTER
p6.1 |
Bowler Neill
Revised localisation in the ETKF of the Met Office ensemble
A080922631.txt |
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POSTER
p6.2 |
Cecile Loo.
Incremental 4D-Var convergence study in operational context
at Meteo-France |
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p6.3 |
Saide Pablo
A080901078.pdf |
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p6.4 |
Sapucci Luiz F.
A080901543.pdf |
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POSTER
p6.5 |
Verlaan Martin.
OpenDA data-assimilation toolbox |
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Thursday 13 November |
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Poster Session 7: Validation and intercomparations |
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p7.1 |
Buehner Mark
A080820921.pdf |
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p7.2 |
Cosme Emmanuel
A080829647.pdf |
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POSTER
p7.3 |
G.
Desroziers, L. Berre, V. Chabot and B. Chapnik.
A posteriori diagnostics in an ensemble of perturbed
analyses.
A080829513.pdf |
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p7.4 |
Ngodock Hans
A070726855.pdf |
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p7.5 |
Piccolo Chiara
A080829371.pdf |
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POSTER
p7.6 |
Justyna Przybysz-Jarnut
Comparision between Representer Method and the EnKF for flow in porous media applications.
A080416412.pdf |
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POSTER
p7.7 |
Lin Wu, Vivien
Mallet, Marc Bocquet and Bruno Sportisse
A Comparison Study of Data Assimilation Algorithms for Ozone
Forecasts. |
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POSTER
p7.8 |
Shu-Chih
Yang, Eugenia Kalnay, Matteo Corazza, Alberto Carrassi,
Takemasa Miyoshi, Brian Hunt and Neill E. Bowler
Local Ensemble Transform Kalman Filter, 3D-Var and 4D-Var in
the Quasi-Geostrophic model
A080912379.pdf |
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p7.9 |
Zhao Allen.
A080825635.doc |
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Poster
Session 8: Synergistic |
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POSTER
p8.1 |
T.R. Bewley, J.B.
Cessna, C.H. Colburn, R.H. Krohn, D.D. Zhang
Hybrid Ensemble/Variational Estimation (EnVE) and Adaptive
Observation (EnVO)
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POSTER
p8.2 |
Kayo Ide, Guillaume Verineries,
Chris Jones, Amarjit Budhiraja, Elaine Spiller
Some Theoretical Aspects of Lagrangian Data Assimilation |
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p8.3 |
Saynisch Jan
A081103708.pdf
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