EGU General Assembly 2008
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  Oral Programme - NP5.02 Data assimilation in the presence of nonlinearities

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Convener: Talagrand, O.
Co-Convener: van Leeuwen, P.
Co-Sponsorship: WE2

Wednesday, 16 April 2008

Lecture Room: Lecture Room 27

Chairperson: TALAGRAND, O.

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11:15 - 11:30
EGU2008-A-01980;  NP5.02-1WE2O-004
Tang, Y
Sigma-point Kalman filter data assimilation methods for strongly nonlinear systems

11:30 - 11:45
EGU2008-A-03600;  NP5.02-1WE2O-005
Van Leeuwen, P.J.
A combined Local Particle and Local Ensemble Kalman Filter for large nonlinear systems

11:45 - 12:00
EGU2008-A-11090;  NP5.02-1WE2O-006
Ravela, S
Data Assimilation by Maximizing Mutual Information


Chairperson: VAN LEEUWEN, P.

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13:30 - 13:45
EGU2008-A-11052;  NP5.02-1WE3O-001
Pena, M.; Toth, Z.; Krzysztofowicz, R.; Wei, M.
A Bayesian approach to particle filtering

13:45 - 14:00
EGU2008-A-11366;  NP5.02-1WE3O-002
Ahanin, A.; McLaughlin, D.; Entekhabi, D.
Reduced rank filtering in chaotic systems using singular vectors

14:00 - 14:15
EGU2008-A-08220;  NP5.02-1WE3O-003
Agoshkov , V.; Botvinovsky , E.; Gusev , A.; Lebedev , S.; Parmuzin , E.; Shutyaev, V.
Variational data assimilation system INM-T1

14:15 - 14:30
EGU2008-A-11951;  NP5.02-1WE3O-004
Sakov, P.; Bertino, L.
Implications of the form of the ensemble transformation in the ensemble square root filter for nonlinear systems

14:30 - 14:45
EGU2008-A-04615;  NP5.02-1WE3O-005
Bocquet, M; Wu, L
Non-Gaussian data assimilation for source-driven atmospheric transport: generalisations to nonlinear physics

14:45 - 15:00
EGU2008-A-07211;  NP5.02-1WE3O-006
Brankart, J.M.; Lauvernet, C.; Brasseur, P.; Castruccio, F.; Broquet, G.; Verron, J.; Cosme, E.
A Truncated Gaussian filter for data assimilation with inequality constraints


Chairperson: N.N.

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15:30 - 15:45
EGU2008-A-04209;  NP5.02-1WE4O-001
Zhang, S.; Zupanski, D.; Hou, A.; Zupanski, M.
Application of an Ensemble Smoother to Precipitation Assimilation

15:45 - 16:00
EGU2008-A-12122;  NP5.02-1WE4O-002
Caya, A.; Buehner, M.; Carrieres, T.
Data assimilation in a coupled sea ice-ocean model: comparison between variational and ensemble approaches


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