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

J. Gao, M. Xue, K. Brewster, and K.K. Droegemeier.
A three-dimensional variational data analysis method with recursive filter for doppler radars.
Quaterly Journal of the Royal Meteorological Society, 127:1815-1846, 2001.

3

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

4

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.

5

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

6

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

7

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

8

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.

9

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

10

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

11

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