1. Berre, L., Pannekoucke, O., Desroziers, G., Stefanescu, S., Chapnik, B., and Raynaud, L.: A variational assimilation ensemble and the spatial filtering of its error covariances: increase of sample size by local spatial averaging, available at: https://www.ecmwf.int/node/8172 (last access: 13 January 2021),
ECMWF Workshop on Flow-dependent aspecyts of data assimilation, Reading, UK, 11–13 June 2007, 151–168, 2007. a
2. Boisserie, M., Arbogast, P., Descamps, L., Pannekoucke, O., and Raynaud, L.:
Estimating and diagnosing model error variances in the Meteo-France global
NWP model, Q. J. Roy. Meteor. Soc., 140,
846–854, https://doi.org/10.1002/qj.2173,
2013. a
3. Boyd, J.: Chebyshev and Fourier Spectral Methods, Dover Publications, Mineola, New York, USA, 2001. a
4. Carrassi, A. and Vannitsem, S.: Accounting for Model Error in Variational Data
Assimilation: A Deterministic Formulation, Mon. Weather Rev., 138,
3369–3386, https://doi.org/10.1175/2010MWR3192.1,
2010. a
5. Cohn, S.: Dynamics of Short-Term Univariate Forecast Error Covariances, Mon.
Weather Rev., 121, 3123–3149, 1993. a, b, c, d, e, f