Bibliographie

1

A.F. Bennet, B.S. Chua, and L.M. Leslie.
Generalized inversion of a global numerical weather prediction model.
Meteorology and Atmospherics Physics, 60:165-178, 1996.

2

L. Berre, S. E. Stefanescu, and M. B. Pereira.
The representation of the analysis effect in three error simulation techniques.
Tellus, 58A:196-209, 2006.

3

N. Daget.
Interpolation d'une grille orca2 vers une grille régulière.
Technical Report TR/CMGC/06/18, CERFACS, 2006.

4

N. Daget.
Utilisation d'un filtre récursif 1d pour corréler les perturbations de la sst.
Technical Report TR/CMGC/06/17, CERFACS, 2006.

5

M. Fisher.
Background error covariance modelling.
In Proceedings of the ECMWF Seminar on Recent Developments in Data Assimilation for Atmosphere and Ocean, pages 45-63. ECMWF, 8-12 September 2003.

6

T. Gneiting.
Correlation functions for atmospheric data analysis.
Quaterly Journal of the Royal Meteorological Society, 125:2449-2464, 1999.

7

C.M. Hayden and R.J. Purser.
Recursive filter objective analysis of meteorological fields, applications to nesdis operational processing.
Journal of Applied Meteorology, 34:3-15, 1995.

8

P. L. Houtekamer, L. Lefaivre, J. Derome, H. Ritchie, and H. L. Mitchell.
A system approach to ensemble prediction.
Monthly Weather Review, 124:1225-1242, 1996.

9

B. Ingleby and M. Huddleston.
Quality control of ocean temperature and salinity profiles historical and real-time data.
Journal of Marine Systems, submitted, 2005.

10

A. Lorenc.
Iterative analysis using covariance functions and filters.
Quaterly Journal of the Royal Meteorological Society, 118:569-591, 1992.

11

H.E. Ngodock.
Efficient implementation of covariance multiplication for data assimilation with the representer method.
Ocean Modelling, 8:237-251, 2005.

12

R.J. Purser and R. McQuigg.
A successive correction analyses scheme using recursive numerical filter.
Technical Note 154, Met Office, Bracknell, 1982.

13

R.J. Purser, Wan-Shu Wu, D.F. Parrish, and N.M. Roberts.
Numerical aspect of the application of recursive filters to variational statistical analysis. part i: Spatially homogeneous and isotropic gaussian covariances.
Monthly Weather Review, 13:1524-1535, 2003.

14

A. Tarantola.
Inverse problem theory - methods for data fitting and model parameter estimation.
Elsevier, 1987.

15

A. T. Weaver and P. Courtier.
Correlation modeling on the sphere using a generalized diffusion equation.
Quaterly Journal of the Royal Meteorological Society, 127:1815-1846, 2001.

16

A. Weisheimer.
Sst and windstress perturbations for seasonal and annual simulations.
Ensembles rt1 documentation, ECMWF, 2005.