Two sessions were organized during the CSDA'05 conference :

- Data assimilation and its application Contents of the session and slides
- QR and other factorizations Contents
of the session and slides

- One can increase the quality of the initial data used in the treatment of the models.
- One can improve the quality of input data used continuously during the run of the model under consideration (as, for example, emission data).
- One can use data assimilation to improve the chemical and physical mechanisms used in the mathematical formulation of the models.

The selection of representative and reliable measurement data (and measurement stations) is another difficulty when data assimilation techniques are to be implemented in a large-scale model. The results obtained by employing data assimilation techniques essentially depend on the availability of measurement data describing the treated system with sufficient complexity. Therefore, methods have to be developed which allow less accurate or even proxy-data to be implemented in data assimilation schemes. In particular, 4-dimensional variational data assimilation has the potential for such an approach.

Chair

Communications

Zahari Zlatev

National Environmental Research Institute

Frederiksborgvej 399, P. O. Box 358

DK-4000 Roskilde, Denmark

Tel: +45 4630 1149

Fax: +45 4630 1214

E-mail: zz@dmu.dk

Combining observations and ensemble
air-quality forecasts |
||||

Vivien Mallet, Bruno Sportisse slides |
||||

Implementation issues related to data
assimilation using Kalman
filtering |
||||

Gabriel Dimitriu slides |
||||

Variational data assimilation:
examination of results obtained
by different combinations of numerical algorithms and splitting
procedures |
||||

Zahari Zlatev slides |
||||

Error and Uncertainties in Data
Assimilation |
||||

Francois-Xavier Le Dimet slides | ||||

Determination of the material properties of a solid elastic medium in
contact with a fluid medium with MCMC and SPSA |
||||

Samih Zein, Jocelyne Erhel, Nabil Nassif, Edouard
Canot slides |

The Track also focuses on the solution of linear least squares problems arising in diverse applications such as in image processing.

Chair

Communications

Bernard Philippe

INRIA/IRISA

Campus de Beaulieu,

35042 Rennes cedex,

France

Tel: +33 2 99 84 73 38

Fax: +33 2 99 84 71 71

E-mail: philippe@irisa.fr

Gaussian elimination and orthogonal
factorization of sparse matrices |
||||

Laura Grigori slides | ||||

From sparse QR to sparse RRQR |
||||

Frédéric Guyomarc'h, Dani Mezher, Bernard Philippe slides | ||||

A Package of Parallel Algebraic
Two-level Preconditioners Based
on PSBLAS |
||||

Daniela di Serafino, Pasqua D'Ambra, Salvatore Filippone slides | ||||

Structured Total Least Squares for Color
Image Restoration |
||||

Jesse Barlow, Haoying Fu, Michael Ng slides |