A continuous three-dimensional model of short-range forecast error covariances
By: Peter Bartello and Herschel L. Mitchell
References
-
Baker
, W. E., Bloom, S. C., Woollen, J. S., Nestler, M. S., Brin, E., Schlatter, T. W.and Branstator, G. W.. Experiments with a three-dimensional statistical objective analysis scheme using FGGE data. Mon. Wea. Rev. 115, 272– 296. -
Batchelor
, G. K.. The theory of homogeneous turbulence . Cambridge University Press, pp. 197. -
Bergman
, K. H.. Multivariate analysis of temperatures and winds using optimum interpolation. Mon. Wea. Rev. 107, 1423– 1444. -
Boer
, G. J.and Shepherd, T. G.. Large-scale two-dimensional turbulence in the atmosphere. J. Atmos. Sci. 40, 164– 184. -
Charney
, J. G.. Geostrophic turbulence. J. Atmos. Sci. 28, 1087– 1095. -
Churchill
, R. V.and Brown, J. W.. Fourier series and boundary value problems . McGraw-Hill, pp. 271. -
Daley
, R.. The analysis of synoptic scale divergence by a statistical interpolation procedure. Mon. Wea. Rev. 113, 1066– 1079. -
Gandin
, L. S.. Objective analysis of meteorological fields. Translated from Russian by the Israeli Program for Scientific Translations (1965). -
Hollingsworth
, A.and Lönnberg, P.. 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.. An Introduction to Dynamic Meteorology . Academic Press, pp. 391. -
Jørgensen
, A. M. K.. Numerical analysis of the atmospheric state for a Danish fine-mesh numerical weather prediction model . Meteorological Institute, University of Copenhagen, Copenhagen, Denmark. 157pp. -
Lilly
, D.and Petersen, E.. Aircraft measurements of atmospheric kinetic energy spectra. Tellus, 379– 382. -
Lönnberg
, P.and Hollingsworth, A.. The statistical structure of short-range forecast errors as determined from radiosonde data. Part II: The covariance of height and wind errors. Tellus, 137– 161. -
Lorenc
, A. C.. A global three-dimensional multi-variate statistical interpolation scheme. Mon. Wea. Rev. 109, 701– 721. -
Mitchell
, H. L.and Derome, J.. 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.. Revised interpolation statistics for the Canadian data assimilation procedure: Their derivation and application. Mon. Wea. Rev. 118, 1591– 1614. -
Parrish
, D.. 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.. The spatial statistics of random geostrophic modes and first-guess errors. Tellus, 314– 332. -
Rutherford
, I. D.. Data assimilation by statistical interpolation of forecast error fields. J. Atmos. Sci. 29, 809– 815. -
Rutherford
, I. D.. 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.. Experiments with correlation representations for objective analysis. Mon. Wea. Rev. 103, 617– 627. -
Thiébaux
, H. J., Mitchell, H. L.and Shantz, D. W.. Horizontal structure of hemispheric forecast error correlations for geopotential and temperature. Mon. Wea. Rev. 114, 1048– 1066.
DOI: https://doi.org/10.3402/tellusa.v44i3.14955 | Journal eISSN: 3035-9554
Language: English
Page range: 217 - 235
Submitted on: Jan 29, 1991
Accepted on: Nov 25, 1991
Published on: Jan 1, 1992
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 1992 Peter Bartello, Herschel L. Mitchell, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.