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Initialization of Mesoscale Models: The Possible Impact of Remotely Sensed Data

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Mesoscale Meteorology — Theories, Observations and Models

Part of the book series: NATO ASI Series ((ASIC,volume 114))

Abstract

The numerical models discussed in this book (and elsewhere) are formulated as Initial Value problems. That is at the start of the integration (t = 0) all the prognostic variables (wind, temperature, humidity) need to be specified. At a later time, all the prognostic (and diagnostic) variables are predicted by the model. Virtually all the numerical models require that the continuum equations, which describe the atmospheric dynamics, thermodynamics and radiation, be replaced by their discrete analogues. Regardless of the specific method of discretization, there is an explicit or implicit requirement that the initial conditions be specified at grid points which are often different than “observation points”.

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References

  1. Baer, F. and J. J. Tribbia, 1977: On complete filtering of gravity modes through non-linear initialization. Mon. Wea. Rev., 105, pp. 1536 - 1539.

    Google Scholar 

  2. Bengtsson, L., 1975: 4-dimensional assimilation of meteorological observations. GARP Publications No. 15, World Meteorological Organization, Geneva, 76 pp.

    Google Scholar 

  3. Browning, G., A. Kasahara, and H. O. Kreiss, 1980: Initialization of the primitive equations by the bounded derivative method. J. Atmos. Sci., 37, pp. 1424 - 1436.

    Google Scholar 

  4. Bube, K. P. and M. Ghil, 1981: Asimilation of asynoptic data and the initialization problem. In Dynamic Meteorology Data Assimilation Methods. L. Bengtsson, M. Ghil, and H. Kallen, Editors. Springer-Verlag, NY.

    Google Scholar 

  5. Cahn, A., 1945: An investigation of the free oscillation of a simple current system. J. Meteor., 2, pp. 113 - 119.

    Google Scholar 

  6. Charney, J. G., 1955: The use of primitive equations in numerical predictions. Tellus, 7, pp. 22 - 26.

    Google Scholar 

  7. Charney, J. G., M. Halem, and R. Jastrow, 1969: Use of incomplete historical data to infer the present state of the atmosphere. J. Atmos. Sci., 26, pp. 1160 - 1163.

    Google Scholar 

  8. Charney, J. G., R. Fjr1rtoft, and J. Von Neumann, 1950: Numerical integration of the barotropic vorticity equation. Tellus, 2, pp. 237 - 254.

    Google Scholar 

  9. Gage, K. S. and B. B. Balsley, 1978: Doppler radar probing of the clear atmosphere. Bull. Amer. Meteor. Soc., 58, pp. 1074 - 1093.

    Google Scholar 

  10. Ghil, M., 1980: The compatible balancing approach to initialization and four-dimensional data assimilation. Tellus, 32, pp. 198 - 206.

    Google Scholar 

  11. Ghil, M., S. Cohn, J. Tavantzis, K. Bube, and E. Isaacson, 1981: Application of estimation theory to numerical weather prediction. In Dynamic Meteorology Data Assimilation Methods. L. Berglsson, M. Ghil, and H. Kallen, Editors. Springer-Verlag, NY.

    Google Scholar 

  12. Halem, M., E. Kalnay, W. E. Baker, and R. Atlas, 1982: An assessment of the FGGE satellite observing system during SOP-1. Bull. Amer. Meteor. Soc., 63, pp. 407 - 426.

    Google Scholar 

  13. Haltiner, G. J. and R. T. Williams, 1980: Numerical Prediction and Dynamic Meteorology. Wiley, 477 pp.

    Google Scholar 

  14. Hoskins, B. J., 1975: The geostrophic momentum approximation and the semi-geostrophic equation. J. Atmos. Sci., 32, pp. 233 - 242.

    Google Scholar 

  15. Lee, D. K. and D. D. Houghton, 1981: Impact of mesoscale satellite wind data on numerical model simulation. Preprint, 15th Conf. on Numerical Weather Prediction, November 2-6, 1981, Monterey, CA, Amer. Meteor. Soc., Boston, MA, pp. 171 - 178.

    Google Scholar 

  16. Leith, C. E., 1980: Non-linear normal mode initialization and quasi-geostrophic theory. J. Atmos. Sci., 37, pp. 958 - 968.

    Google Scholar 

  17. Machenhauer, B., 1977: On the dynamics of gravity oscillation in shallow water model, with applications to normal mode initialization. Beitr. Phys. Atmos., 50, pp. 253 - 271.

    Google Scholar 

  18. Nitta, T. and J. B. Hovermale, 1969: A technique of objective analysis and initialization for the primitive forecast equations. Mon. Wea. Rev., 97, 652-658.

    Google Scholar 

  19. Pedlosky, J., 1979: Geophysical Fluid Dynamics. Springer-Verlag, New York City, NY, 624 pp.

    Book  Google Scholar 

  20. Rossby, C. G., 1938: On the mutual adjustment of pressure and velocity distribution in certain simple current systems, II. Jour. Marine Res., ( Sears Foundation ), pp. 239 - 263.

    Google Scholar 

  21. Sanders, F., 1979: Trends in the skill of daily forecasts of temperature and precipitation, 1966-1978. Bull. Amer. Meteor. Soc., 60, pp. 763 - 769.

    Google Scholar 

  22. Schoenstadt, A. L., 1977: The effect of spatial discretization on the steady state and transient behavior of a dispersive wave equation. J. Comp. Phys., 23, pp. 364 - 379.

    Google Scholar 

  23. Talagrand, 0., 1980: Convergence of assimilation procedures. In Data Assimilation Methods, European Centre for Medium Range Weather Prediction, Seminar 15-19 Sept. pp. 335-375.

    Google Scholar 

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© 1983 Springer Science+Business Media Dordrecht

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Gal-Chen, T. (1983). Initialization of Mesoscale Models: The Possible Impact of Remotely Sensed Data. In: Lilly, D.K., Gal-Chen, T. (eds) Mesoscale Meteorology — Theories, Observations and Models. NATO ASI Series, vol 114. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2241-4_6

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  • DOI: https://doi.org/10.1007/978-94-017-2241-4_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8390-6

  • Online ISBN: 978-94-017-2241-4

  • eBook Packages: Springer Book Archive

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