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Tellus A: Dynamic Meteorology and Oceanography Volume 45, 1993 - Issue 5
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Original Articles

The effects of discontinuities in the Betts’Miller cumulus convection scheme on four-dimensional variational data assimilation

DuŠAnka ŽUpanskiNMC/UCAR Visiting Research Program, NMC/WWB2, Room 204, 5200 Auth Road, Camp Springs, MD20746, USA;Institute of Physics, Belgrade, Yugoslavia.
Pages 511-524 | Received 06 Nov 1992, Accepted 24 May 1993, Published online: 15 Dec 2016

References

  • Bao, J.-W. and Warner, T. T. 1993. Treatment of on/off switches in the adjoint method: FDDA experiments with a simple model. Tellus 45A, 525–538.
  • Betts, A. K. 1982. Saturation point analysis of moist convective overturning. J. Atmos. Sci. 39, 1484-1505. Betts, A. K. 1983. Thermodynamics of mixed stratocumulus layers: saturation points budgets. J. Atmos. Sci. 40, 2655–2670.
  • Betts, A. K. 1986. A new convective adjustment scheme. Part I: Observational and theoretical basis. Quart. J. R. Met. Soc. 112, 677–691.
  • Betts, A. K. and Miller, M. J. 1986. A new convective adjustment scheme. Part H: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Quart. J. R. Met. Soc. 112, 693–709.
  • Betts, A. K. and Miller, M. J. 1993. The Betts—Miller Scheme. In: The Representation of cumulus convection in numerical models of the atmosphere (eds. Emanuel, K. A. and Raymond, D. J.), American Meteorological Society (in print).
  • Courtier, P. and Talagrand, 0. 1987. Variational assimilation of meteorological observations with the adjoint vorticity equations. II: Numerical results. Quart. J. R. Met. Soc. 113, 1331-1350.
  • Derber, J. C. 1989. A variational continuous assimilation technique. Mon. Wea. Rev. 117, 2437–2446.
  • Di Mego, G. J. 1988. The Nation] Meteorological Center Regional Analysis System. Mon. Wea. Rev. 116, 977–1000.
  • Douady, D. and Talagrand, O. 1990. The impact of threshold processes on variational assimilation. Preprints, WMO Int. Symposium on Assimilation of Observations in Meteorology and Oceanography. Clermont-Ferrand, France, 486–487.
  • Errico, R. M. and Vukiéevie, T. 1992. Sensitivity analysis using an adjoint of the PSU-NCAR mesoscale model. Mon. Wea. Rev. 120, 1644–1660.
  • Gill, P. E., Murray, W. and Wright, M. H. 1981. Practical optimization. London, Academic Press, 401 pp.
  • Hoffman, R. N. 1986. A four-dimensional analysis exactly satisfying equations of motion. Mon. Wea. Rev. 114, 388–397.
  • Janjié, Z. I. 1990. The step-mountain coordinate: Physi-cal package. Mon. Wea. Rev. 118, 1429–1443.
  • LeDimet, F. X. and Talagrand, O. 1986. Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects. Tellus 38A, 97–110.
  • Lewis, J. M. and Derber, J. C. 1985. The use of adjoint equations to solve a variational adjustment problem with advective constraints. Tellus 37A, 309–322.
  • Mesinger, F., Janjie, Z. I., Niékovie, S., Gavrilov, D. and Deaven, D. 1988. The step mountain coordinate: model description and performance for cases of Alpine lee cyclogenesis and for a case of an Appalachian redevelopment. Mon. Wea. Rev. 116, 1493–1518.
  • Navon, I. M., Zou, X., Derber, J. C. and Sela, J. 1992. Variational data assimilation with an adiabatic ver-sion of the NMC spectral model. Mon. Wea. Rev. 120, 1433–1446.
  • Parrish, D. F. and Derber, J. C. 1992. The National Meteorological Center's spectral statistical-interpola-tion analysis system. Mon. Wea. Rev. 120, 1747–1763.
  • Rockafellar, R. T. 1981. The theory of subgradients and its applications to problems of optimization: convex and non-convex functions. Berlin, Heldermann Verlag, 107 pp.
  • Shanno, D. F. 1978. Conjugate gradient methods with inexact line searches. Math. Operations Res. 3, 244–256.
  • Tarantola, A. 1987. Inverse problem theory. Methods for data fitting and model parameter estimation. Amsterdam, Oxford, New York, Tokyo, Elsevier, 613 pp.
  • Thepaut, J.-N. and Courtier, P. 1991. Four-dimensional variational data assimilation using the adjoint of a multilevel primitive equation model. Quart. J. R. Met. Soc. 117, 1225L.1254.
  • Thepaut, J.-N., Vasiljevie, D., Courtier, P. and Pailleux, J. 1993. Variational assimilation of conventional meteorological observations with a multilevel primitive equation model. Quart. J. R. Met. Soc. 119, 153–186.
  • Verlinde, J. 1992. Fitting microphysical observations to a numerical model through an optimal control theory technique. PhD Thesis, Colorado State University, Fort Collins, Colorado 80523, Paper No. 493,83 pp.
  • Vukiéevie, T. and Errico, R. M. 1993. Linearization and adjoint of parametrized moist diabatic processes. Tellus 45A, 493–510.
  • Wergen, W. 1992. The effect of model errors in varia-tional assimilation. Tellus 44A, 297–313.
  • Zou, X., Navon, I. M. and Sela, J. G. 1993. Variational data assimilation with moist threshold processes using the NMC spectral model. Tellus 45A, 370–387.
  • Zupanski, M. 1993a. Regional four-dimensional varia-tional data assimilation in a quasi-operational fore-casting environment. Mon. Wea. Rev. 121, 2396–2408.
  • upanski, M. 1993b. A preconditioning algorithm for large scale minimization problems. Tellus 45A, 578–592.

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