References
- Baker, W. E., Bloom, S. C., Woollen, J. S., Nestler, M. S., Brin, E., Schlatter, T. W. and Branstator, G. W. 1987. Experiments with a three-dimensional statistical objective analysis scheme using FGGE data. Mon. Wea. Rev. 115, 272–296.
- Batchelor, G. K. 1953. The theory of homogeneous turbulence. Cambridge University Press, pp. 197.
- Bergman, K. H. 1979. Multivariate analysis of temperatures and winds using optimum interpolation. Mon. Wea. Rev. 107, 1423–1444.
- Boer, G. J. and Shepherd, T. G. 1983. Large-scale two-dimensional turbulence in the atmosphere. J. Atmos. Sci. 40, 164–184.
- Charney, J. G. 1971. Geostrophic turbulence. J. Atmos. Sci. 28, 1087–1095.
- Churchill, R. V. and Brown, J. W. 1978. Fourier series and boundary value problems. McGraw-Hill, pp. 271.
- Daley, R. 1985. The analysis of synoptic scale divergence by a statistical interpolation procedure. Mon. Wea. Rev. 113, 1066–1079.
- Gandin, L. S. 1963. Objective analysis of meteorological fields. Translated from Russian by the Israeli Program for Scientific Translations (1965).
- Hollingsworth, A. and Lönnberg, P. 1986. The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field. Tellus, 38A, 111–136.
- Holton, J. R. 1979. An Introduction to Dynamic Meteorology. Academic Press, pp. 391.
- Jørgensen, A. M. K. 1987. Numerical analysis of the atmospheric state for a Danish fine-mesh numerical weather prediction model. Meteorological Institute, University of Copenhagen, Copenhagen, Denmark. 157 pp.
- Lilly, D. and Petersen, E. 1983. Aircraft measurements of atmospheric kinetic energy spectra. Tellus 35, 379–382.
- Lönnberg, P. and Hollingsworth, A. 1986. The statistical structure of short-range forecast errors as determined from radiosonde data. Part II: The covariance of height and wind errors. Tellus 38A, 137–161.
- Lorenc, A. C. 1981. A global three-dimensional multi-variate statistical interpolation scheme. Mon. Wea. Rev. 109, 701–721.
- Mitchell, H. L. and Derome, J. 1985. Resonance of topographically forced waves in a quasi-geostrophic model. J. Atmos. Sci. 42, 1653–1666.
- Mitchell, H. L., Charette, C., Chouinard, C. and Brasnett, B. 1990. Revised interpolation statistics for the Canadian data assimilation procedure: Their derivation and application. Mon. Wea. Rev. 118, 1591–1614.
- Parrish, D. 1988. The introduction of Hough functions into optimum interpolation. Preprint Volume, 8th Conference on Numerical Weather Prediction, (Baltimore), Amer. Meteor. Soc., Boston, USA, 191–196.
- Phillips, N. A. 1986. The spatial statistics of random geostrophic modes and first-guess errors. Tellus 38A, 314–332.
- Rutherford, I. D. 1972. Data assimilation by statistical interpolation of forecast error fields. J. Atmos. Sci. 29, 809–815.
- Rutherford, I. D. 1976. An operational three-dimensional multivariate statistical objective analysis scheme. Proc. JOC Study Group Conf on Four-dimensional data assimilation, GARP Rep. No. 11, WMO, Geneva, 98–121.
- Thiébaux, H. J. 1975. Experiments with correlation representations for objective analysis. Mon. Wea. Rev. 103, 617–627.
- Thiébaux, H. J., Mitchell, H. L. and Shantz, D. W. 1986. Horizontal structure of hemispheric forecast error correlations for geopotential and temperature. Mon. Wea. Rev. 114, 1048–1066.