Advertisement

Atmospheric Modelling

  • W. A. Lahoz
Conference paper
Part of the NATO Science Series book series (NAIV, volume 26)

Abstract

Numerical models play a key role in data assimilation for the Earth System, since they are the means by which information from observations is organised and summarised. To do the best possible job, data assimilation systems are built on state-of-the-art models that embody our understanding of how the Earth System evolves, i.e., the physical laws governing its behaviour.

Keywords

Gravity Wave Spherical Harmonic Earth System Numerical Weather Prediction Atmospheric General Circulation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allen, M.R., and L.A. Smith, 1996: Monte Carlo SSA: Detecting irregular oscillations in the presence of colored noise. J. Clim., 9, 3373–3404.CrossRefGoogle Scholar
  2. Andrews, D.G., J. R. Holton, and C.R. Leovy, 1987: Middle Atmosphere Dynamics. Academic Press, London.Google Scholar
  3. Arakawa, A., and V.R. Lamb, 1977: Computational design of the basic dynamical processes of the UCLA general circulation model. Methods in Comput. Phys., 17, 173–265.Google Scholar
  4. Austin, J., 2002: A three-dimensional coupled chemistry-climate model simulation of past stratospheric trends. J. Atmos. Sci., 59, 218–232.CrossRefGoogle Scholar
  5. Cullen, M.J.P., 1993: The unified forecast/climate model. Meteorol. Mag., 122, 81–94.Google Scholar
  6. Dameris, M., V. Grewe, R. Hein, C. Schnadt, C. Brühl, and B. Steil, 1998: Assessment of the future development of the ozone layer. Geophys. Res. Lett., 25, 3579–3582.CrossRefGoogle Scholar
  7. Durran, D.R., 1999: Numerical Methods for Wave Equations in Geophysical Fluid Dynamics. Springer-Verlag, New York.CrossRefGoogle Scholar
  8. Haltiner, G.J., and T.R. Williams, 1980: Numerical Prediction and Dynamic Meteorology. John Wiley & Sons, New York.Google Scholar
  9. Hamilton, K. (Ed.), 1996: Gravity wave processes and their parametrization in global climate models. Springer-Verlag.Google Scholar
  10. Houghton, J.T., L.G. Meira Filho, J. Bruce, Hoesung Lee, B.A. Callander, E. Haites, N. Harris, and K. Maskell K. (Eds.), 1995: Climate change 1994: Radiative forcing of climate change. Cambridge University Press, Cambridge.Google Scholar
  11. Lorenz, E.N., 1963: Deterministic nonperiodic flow. J. Atmos. Sci., 20, 130–141.CrossRefGoogle Scholar
  12. Phillips, T.J., 1994: A Summary Documentation of the AMIP Models. PCMDI Report No 118.Google Scholar
  13. Rind, D., D. Shindell, P. Lonergan, and N.K. Balachandran, 1998: Climate change and the middle atmosphere: Part III, The doubled CO2 climate revisited. J. Clim., 11, 876–894.CrossRefGoogle Scholar
  14. Santer, B.D., K.E. Taylor, T.M.L. Wigley, T.C. Johns, P.D. Jones, D.J. Karoly, J.F.B. Mitchell, A.H. Oort, J.E. Penner, V. Ramaswamy, M.D. Schwarzkopf, R.J. Stouffer, and S.F.B. Tett, 1996: A search for human influences on the thermal structure of the atmosphere. Nature, 382, 39–46.CrossRefGoogle Scholar
  15. Scaife, A.A., N. Butchart, C.D. Warner, D. Stainforth, W. Norton, and J. Austin, 2000: Realistic quasi-biennial oscillations in a simulation of the global climate. Geophys. Res. Lett., 27, 3481–3484.CrossRefGoogle Scholar
  16. Simmons, A.J., A. Untch, C. Jakob, P. Kållberg, and P. Undén, 1999: Stratospheric water vapour and tropical tropopause temperatures in ECMWF analyses and multi-year simulations. Q. J. R. Meteorol. Soc., 125, 353–386.CrossRefGoogle Scholar
  17. Staniforth, A.N., and J. Côte, 1991: Semi-Lagrangian integration schemes for atmospheric models — A review. Mon. Weather Rev., 119, 2206–2223.CrossRefGoogle Scholar
  18. Tett, S.F.B., P.A. Stott, M.R. Allen, W.J. Ingram, and J.F.B. Mitchell, 1999: Causes of twentieth-century temperature changes near the Earth’s surface. Nature, 399, 569–572.CrossRefGoogle Scholar
  19. Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: the generation of perturbations. Bull. Amer. Meteorol. Soc., 74, 2317–2330.CrossRefGoogle Scholar
  20. WMO, 1999: Scientific Assessment of Ozone Depletion: 1998. WMO, Global Ozone Research and Monitoring Project Report No 44.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • W. A. Lahoz
    • 1
  1. 1.DARC, Department of MeteorologyUniversity of ReadingReadingUK

Personalised recommendations