Articles | Volume 11, issue 1
https://doi.org/10.5194/asr-11-63-2014
https://doi.org/10.5194/asr-11-63-2014
05 Jun 2014
 | 05 Jun 2014

Modelling static 3-D spatial background error covariances – the effect of vertical and horizontal transform order

M. A. Wlasak and M. J. P. Cullen

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Cited articles

Clayton, A. M., Lorenc, A. C., and Barker, D. M.: Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office, Q. J. Roy. Meteor. Soc., 139, 1445–1461, https://doi.org/10.1002/qj.2054, 2013.
Courtier, P., Andersson, E., Heckley, W., Vasiljevic, D., Hamrud, M., Hollingsworth, A., Rabier, F., Fisher, M., and Pailleux, J.: The ECMWF implementation of three-dimensional variational assimilation (3D-Var). I: Formulation, Q. J. Roy. Meteor. Soc., 124, 1783–1807, https://doi.org/10.1002/qj.49712455002, 1998.
Ingleby, N. B.: The statistical structure of forecast errors and its representation in The Met. Office Global 3-D Variational Data Assimilation Scheme. Q.J.R. Meteorol. Soc., 127: 209–231. https://doi.org/10.1002/qj.49712757112, 2001.
Lorenc, A. C., Ballard, S. P., Bell, R. S., Ingleby, N. B., Andrews, P. L. F., Barker, D. M., Bray, J. R., Clayton, A. M., Dalby, T., Li, D., Payne, T. J. and Saunders, F. W.: The Met. Office global three-dimensional variational data assimilation scheme. Q.J.R. Meteorol. Soc., 126: 2991–3012. https://doi.org/10.1002/qj.49712657002, 2000.
Rawlins, F., Ballard, S. P., Bovis, K. J., Clayton, A. M., Li, D., Inverarity, G. W., Lorenc, A. C., and Payne, T. J.: The Met Ofiice Global 4-Dimensional Data Assimilation System, Q. J. Roy. Meteor. Soc., 133, 347–362,https://doi.org/10.1002/qj.32, 2007.