Advertisement

3D Modal Variability and Energy Transformations on the Sphere

Chapter
  • 60 Downloads
Part of the Mathematics of Planet Earth book series (MPE, volume 8)

Abstract

The three-dimensional (3D) normal-mode function (NMF) decomposition is derived in the system with pressure as the vertical coordinate followed by the applications of NMFs to atmospheric variability and energetics. Energy generation and transfers are analyzed in modal space. It is demonstrated that 3D NMF decomposition filters inertia-gravity waves even outside the tropics. Energy decomposition into the Rossby and inertia-gravity components shows that modern analysis data have the Rossby wave energy spectrum obeying a k−3 law, where k is the zonal wavenumber. The energy spectrum of inertia-gravity modes follows a k−5/3 law at smaller synoptic scales which are well resolved by analyses whereas the analyses still lack variability at mesoscale. The energy spectrum of the Rossby modes obeys the 2 power of the eigen frequency for the barotropic mode, as expected from the Rossby wave saturation theory. A clear energy peak at the spherical Rhines scale separates the nonlinear turbulent regime from the linear wave regime. Scale-dependent diagnostics of climate model biases is derived in relation to spatio-temporal variability of the models in comparison with reanalysis data.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ahlquist, J. (1982). Normal-mode global rossby waves: Theory and observations. J. Atmos. Sci., 39(1):193–202.Google Scholar
  2. Bartello, P. (1995). Geostrophic adjustment and inverse cascades in rotating stratified turbulence. J. Atmos. Sci., 52:4410–4427.Google Scholar
  3. Bechtold, P. M., Koehler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F., and Balsamo, G. (2008). Advances in simulating atmospheric variability with the ECMWF model: from synoptic to decadal time-scales. Q. J. R. Meteorol. Soc., 134:1337–1351.Google Scholar
  4. Chapman, S. and Lindzen, R. S. (1970). Atmospheric tides: Thermal and gravitational. Gordon and Breach/Sci. Pub., page 200 pp.Google Scholar
  5. Charney, J. G. (1947). The dynamics of long waves in a baroclinic westely current. J. Meteorol., 4:135–162.Google Scholar
  6. Chen, T.-C. and Wiin-Neilsen, A. (1978). On nonlinear cascades of atmospheric energy and enstrophy in a two-dimensional spectral index. Tellus, 30:313–322.Google Scholar
  7. Dee, D. P. and Coauthors (2011). The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc., 137:553–597–1841.Google Scholar
  8. Dewan, E. (1979). Stratospheric wave spectra resembling turbulence. Science, 204:832–835.Google Scholar
  9. Dickinson, R. E. (1968). On the exact and approximate liner theory of vertically propagating planetary rossby waves forced at a spherical lower boundary. Mon. Wea. Rev., 96:405–415.Google Scholar
  10. Eliasen, E. and Machenhauer, B. (1965). A study of the fluctuation of atmospheric planetary flow patterns represented by spherical harmonics. Tellus, 17:220–238.Google Scholar
  11. Errico, R. M. (1989). Theory and application of nonlinear normal mode initialization. NCAR Technical Note, NCAR/TN-344+IA. 145 pp.Google Scholar
  12. Fritts, D. C. and Alexander, J. M. (2003). Gravity wave dynamics and e_ects in the middle atmosphere. Reviews of Geophysics, 41(1):doi: https://doi.org/10.1029/2001RG000106.
  13. Fritts, D. C. and Coauthors (2016). The deep propagating gravity wave experiment (DEEPWAVE): An airborne and ground-based exploration of gravity wave 179Google Scholar
  14. propagation and e_ects from their sources throughout the lower and middle atmosphere. Bull. Amer. Meteor. Soc., 97:425–453.Google Scholar
  15. Garcia, R. R. and Geisler, J. E. (1981). Stochastic forcing of small amplitude oscillation in the stratosphere. J. Atmos. Sci., 38:2187–2197.Google Scholar
  16. Gubenko, V. N., Pavelyev, A. G., and Andreev, V. E. (2008). Determination of the intrinsic frequency and other wave parameters from a single vertical temperature or density profile measurement. J. Geophys. Res., 113(D8):dos: https://doi.org/10.1029/2007JD008920.
  17. Hamilton, K. (1991). Climatological statistics of stratospheric inertia-gravity waves deduced from historical rocketsonde wind and temperature data. J. Geophys. Res, 96(20):831–20.Google Scholar
  18. Hayasaki, M. and Tanaka, H. (1999). A study of drastic warming in the troposhere: A case study for the winter of 1989 in alaska. Tenki, 46:123–135.Google Scholar
  19. Hayashi, Y. (1980). Estimation of nonlinear energy transfer spectra by the crossspectral method. J. Atms. Sci., 37:2299–307.Google Scholar
  20. Hayashi, Y. (1982). Space-time spectral analysis and its applications to atmospheric waves. J. Meteor. Soc. Japan, 60:156–171.Google Scholar
  21. Hirota, I. (1971). Excitation of planetary rossby waves in the winter stratosphere by periodic forcing. J. Meteor. Soc. Japan, 49:439–449.Google Scholar
  22. Holmstrom, I. (1963). On a method for parametric representation of the state of the atmosphere. Tellus, 15:127–149.Google Scholar
  23. Hough, S. S. (1898). On the application of harmonic analysis to the dynamical theory of the tides - Part II. On the general integration of Laplace´s dynamical equations. Phil. Trans. Roy. Soc. London, A191:139–185.Google Scholar
  24. Kao, S.-K. (1968). Governing equations and spectra for atmospheric motion and transports in frequency wavenumber space. J. Atmos. Sci., 25.Google Scholar
  25. Kasahara, A. (1976). Normal modes of ultralong waves in the atmosphere. Mon. Wea. Rev., 104:669–690.Google Scholar
  26. Kasahara, A. (1977). Numerical integration of the global barotropic primitive equations with hough harmonic expansions. J. Atmos. Sci., 34:687–701.Google Scholar
  27. Kasahara, A. (1978). Further studies on a spectral model of the global barotropic primitive equations with hough harmonic expansions. J. Atmos. Sci., 35:2043–2051.Google Scholar
  28. Kasahara, A. (1980). E_ect of zonal flows on the free oscillations of a barotropic atmosphere. J. Atmos. Sci., 37:917–929. Corrigendum, J. Atmos. Sci., 38 (1981), 2284–2285.Google Scholar
  29. Kasahara, A. (1984). The linear response of a stratified global atmosphere to a tropical thermal forcing. J. Atmos. Sci., 41:2217–2237.Google Scholar
  30. Kasahara, A. and Puri, K. (1981). Spectral representation of three-dimensional global data by expansion in normal mode functions. Mon. Wea. Rev., 109:37–51.Google Scholar
  31. Kitamura, Y. and Matsuda, Y. (2006). The k-3 and k-5/3 energy spectra in stratified urbulence. Geophys. Res. Lett., 111:L05809, doi:10.1029/2005GL024996.Google Scholar
  32. Kitamura, Y. and Matsuda, Y. (2010). Energy cascade processes in rotating stratified turbulence with application to the atmospheric mesoscale. Geophys. Res. Lett., 115:L11104, doi:10.1029/2009JD012368.3013–3030.Google Scholar
  33. Kung, E. (1988). Spectral energetics of the general circulation and time spectra of transient waves during the FGGE year. . J. Clim., 1:5–19.Google Scholar
  34. Kung, E. C. (1972). A scheme for kinematic estimate of large-scale vertical motion with an upper-air network. Quart. J. Roy. Meteor. Soc., 98:402–411.Google Scholar
  35. Kung, E. C. and Tanaka, H. (1983). Energetics analysis of the global circulation during the special observation periods of fgge. J. Atmos. Sci., 40:2575–2592.Google Scholar
  36. Kung, E. C. and Tanaka, H. (1984). Spectral characteristics and meridional variations of energy transformations during the first and second special observation periods of fgge. J. Atmos. Sci., 41:1836–1849.Google Scholar
  37. Lamb, H. (1932). Hydrodynamics. Dover Pub.Google Scholar
  38. Leith, C. E. (1971). Atmospheric predictability and two-dimensional turbulence. J. Atmos. Sci., 28:145–161.Google Scholar
  39. Lindborg, E. (2006). The energy cascade in a strongly stratified fluid. J. Fluid Mech., 550:207–242.Google Scholar
  40. Lindborg, E. and Cho, J. (2001). Horizontal velocity structure functions in the upper troposphere and lower stratosphere: 2. theoretical considerations. J. Geophys. Res., 106:10233–10241.Google Scholar
  41. Lindzen, R. S., Straus, D. M., and Katz, B. (1984). An observational study of largescale atmospheric Rossby waves during FGGE. J. Atmos. Sci., 41:1320–1335.Google Scholar
  42. Longuet-Higgins, M. S. (1968). The eigenfunctions of laplace´s tidal equations over a sphere. Phil. Trans. Roy. Soc. London, Series A. Mathematical and Physical Sciences, 262:511–607.Google Scholar
  43. Lorenz, E. N. (1955). Available potential energy and the maintenance of the general circulation. Tellus, 7:157–167.Google Scholar
  44. Madden, R. (1978). Further evidence of traveling planetary waves. J. Atmos. Sci., 35:1605–1618.Google Scholar
  45. Matsuno, T. (1966). Quasi-geostrophic motions in the equatorial area. J. Meteor. Soc. Japan, 44:25–42.Google Scholar
  46. Merilees, P. E. (1966). On the linear balance equation in terms of spherical harmonics. Tellus, 20:200–202.Google Scholar
  47. Miura, H., S.-M. N. T. N. A. and Oouchi, K. (2007). Madden-julian oscillation event realistically simulated using a global cloud-resolving model. Science, 318:1763–1765.Google Scholar
  48. Molteni, F. (2003). Atmospheric simulations using a GCM with simplified physical parametrizations. I: model climatology and variability in multi-decadal experiments. Clim. Dyn., 20:175–195.Google Scholar
  49. Nastrom, G. D. and Gage, K. S. (1985). A climatology of aircraft wavenumber spectra observed by commercial aircraft. J. Atmos. Sci., 42:950–960.Google Scholar
  50. Nasuno, T., T.-H. I. S. M. H. and Satoh, M. (2007). Multi-scale organization of convection simulated with explicit cloud processes on an aquaplanet. J. Atmos. Sci., 64:1902–1921.Google Scholar
  51. O’Brien, J. J. (1970). Alternative solutions to the classical vertical velocity problem. J. Appl. Meteor., 9:197–203.Google Scholar
  52. Onogi, K., Tsutsui, J., Koide, H., and Coauthors (2007). The JRA-25 Reanalysis. J. Meteorol. Soc. Japan, 85:369–434.Google Scholar
  53. Salby, M. L., G. R. R. O. D. and Tribbia, J. (1990). Global transport calculations with an equivalent barotropic system. J. Atmos. Sci., 47:188–214.Google Scholar
  54. Salby, M. (1981). Rossby normal modes in nonuniform background configurations, part ii: Equinox and solstice conditions. J. Atmos. Sci., 38:1827–1840.Google Scholar
  55. Saltzman, B. (1957). Equations governing the energetics of the larger scales of atmospheric turbulence in the domain of wavenumber. J. of Meteorology, 14:513–523.Google Scholar
  56. Sasaki, Y. K. and Chang, L. P. (1985). Numerical solution of the vertical structure equation in the normal mode method. Mon. Wea. Rev., 113:782–793.Google Scholar
  57. Sato, K. (1994). A statistical study of the structure, saturation, and sources of inertiagravity waves in the lower stratosphere observed with the mu radar. J. Atmos. Terr. Phys., 56:755–774.Google Scholar
  58. Satoh, M., M. T. T. T. M. H. N. T. and Iga, S. (2008). Nonhydrostatic icosahedral atmospheric model (nicam) for global cloud resolving simulations. J. of Computational Physics, 227:3486–3514.Google Scholar
  59. Shigehisa, Y. (1983). Normal modes of the shallow water equations for zonal wavenumber zero. J. Meteor. Soc. Japan, 61:479–493.Google Scholar
  60. Silva Dias, P. L. and Schubert,W. H. (1979). The dynamics of equatorial mass-flow adjustment. Atmos. Sci.Google Scholar
  61. Swarztrauber, P. N. and Kasahara, A. (1985). The vector harmonic analysis of laplace tidal equations. SIAM J. Stat. Comput., 6:464–491.Google Scholar
  62. Takahashi, Y. O., H. K. and Ohfuchi, W. (2006). Explicit global simulation of the mesoscale spectrum of atmospheric motions. J. Geophys. Lett., 33:L12812.Google Scholar
  63. Tanaka, H. (1985). Global energetics analysis by expansion into three-dimensional normal-mode functions during the FGGE winter. J. Meteor. Soc. Japan, 63:180–200.Google Scholar
  64. Tanaka, H. and Kung, E. (1988). Normal-mode expansion of the general circulation during the FGGE year. J. Atmos. Sci., 45:3723–3736.Google Scholar
  65. Tanaka, H. L. (1984). On the amplification and vertical propagation of zonal wavenumber 1 for january 1979. Gross Wetter (in Japanese), 22:17–25.Google Scholar
  66. Tanaka, H. L. and Kasahara, A. (1992). On thenormal modes of laplace’s tidal equations for zonal wavenumber zero. Tellus, 44A:18–32.Google Scholar
  67. Tanaka, H. L. and Milkovich, M. F. (1990). A heat budget analysis of the polar troposphere in and around alaska during the abnormal winter of 1988/89. Mon. Wea. Rev., 118:1628–1639.Google Scholar
  68. Tanaka, H. L. and Sun, S. (1990). A study of baroclinic energy source for large-scale atmospheric normal modes. J. Atmos. Sci., 47:2674–2695.Google Scholar
  69. Tanaka, H. L. and Terasaki, K. (2005). Energy spectrum and energy flow of the arctic oscillation in the phase speed domain. SOLA, 1:65–68.Google Scholar
  70. Tanaka, H. L. and Yatagai, A. (2000). Comparative study of vertical motions in the global atmosphere eveluatedby various kinematical schemes. J. Meteor. Soc. Japan, 78:289–298.Google Scholar
  71. Tanaka, H. L., K. E. C. and Baker, W. E. (1986). Energetics analysis of the observed and simulated general circulation using three-dimensional normal mode expansion. Tellus, 38A:412–428.Google Scholar
  72. Terasaki, K. and Tanaka, H. (2007). An analysis of the 3-D atmospheric energy spectra and interactions using analytical vertical structure functions and two reanalyses. J. Meteor. Soc. Japan, 85:785–796.Google Scholar
  73. Terasaki, K., Tanaka, H., and Žagar, N. (2011). Energy spectra of Rossby and gravity waves. SOLA, 11:45–48.Google Scholar
  74. Terasaki, K., Tanaka, H. L., and Satoh, M. (2009). Characteristics of the kinetic energy spectrum of nicam model atmosphere. SOLA, 5:180–183.Google Scholar
  75. Tomita, H., M. H. I. S. N. T. and Satoh, M. (2005). A global cloud-resolving simulation: Preliminary results from an aqua planet experiment. Geophys. Res. Lett., 32:L08805.Google Scholar
  76. Tribbia, J. (1979). Non-linear initialization on an equatorial beta plane. Mon. Wea. Rev., 107:704–713.Google Scholar
  77. Tsuda, T., Nishida, M., Rocken, C., and Ware, R. (2000). A global morphology of gravity wave activity in the stratosphere revealed by the GPS occultation data (GPS/MET). J. Geophys. Res., 105:doi:10.1029/1999JD901005.Google Scholar
  78. Uppala, S., Kallberg, P., Simmons, A., Andrae, U., da Costa Bechtold, V., Fiorino, M., Gibson, J., Haseler, J., Hernandez, A., Kelly, G., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R., Andersson, E., Arpe, K., Balmaseda, M., Beljaars, A., van de Berg, L., Bidlot, J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M., Fisher, M., Fuentes, M., Hagemann, S., Holm, E., Hoskins, B., Isaksen, L., Janssen, P., Jenne, R., McNally, A., Mahfouf, J.-F., Morcrette, J.-J., Rayner, N., Saunders, R., Simon, P., Sterl, A., Trenberth, K., Untch, A., Vasiljevic, D., Viterbo, P., and Woollen, J. (2005). The ERA-40 re-analysis. Q. J. R. Meteorol. Soc., 131:2961–3012.Google Scholar
  79. VanZandt, T. E. (1982). A universal spectrum of buoyancy waves in the atmosphere. Geophys. Res. Lett., 9:575–578.Google Scholar
  80. Žagar, N., Boyd, J., Kasahara, A., Tribbia, J., Kallen, E., Tanaka, H., and Yano, J.-I. (2016). Normal modes of atmospheric variability in observations, numerical weather prediction, and climate models. Bulletin of the American Meteorological Society, 97:ES125–ES128.Google Scholar
  81. Žagar, N., Jeli´c, D., Blaauw, M., and Bechtold, P. (2017). Energy spectra and inertiagravity waves in global analyses. J. Atmos. Sci., 74:2447–2466.Google Scholar
  82. Žagar, N., Kasahara, A., Terasaki, K., Tribbia, J., and Tanaka, H. (2015). Normalmode function representation of global 3D datasets: open-access software for the atmospheric research community. Geosci. Model Dev., 8:1169–1195.Google Scholar
  83. Žagar, N., Kosovelj, K., Manzini, E., Horvat, M., and Castanheira, J. (2020). An assessment of scale-dependent variability and bias in global prediction models. Clim. Dyn., pages 1–20.Google Scholar
  84. Waite, M. L. and Snyder, C. (2009). The mesoscale kinetic energy spectrum of a baroclinic life cycle. J. Atmos. Sci., 66:883–901.Google Scholar
  85. Waite, M. L. and Snyder, C. (2013). Mesoscale energy spectra in moist baroclinic waves. J. Atmos. Sci., 70:1242–1256.Google Scholar
  86. Wiin-Nielsen, A. (1967). On the annual variation and spectral distribution of atmospheric energy. Tellus, 19:540–559.Google Scholar
  87. William, E. and Richard, C. (1977). Elementary di_erential equations and boundary value problems. Third Edition, Wiley.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Center for Computational SciencesUniversity of TsukubaTsukubaJapan
  2. 2.Meteorological InstituteUniversität HamburgHamburgGermany

Personalised recommendations