|
[1] E. Aurell et al., Growth of noninfinitesimal perturbations in turbulence, Phys. Rev. Lett. 77(7) (1996), 1262-1265.
[2] E. Aurell et al., Predictability in the large: An extension of the concept of Lyapunov exponent, J. Phys. A 30 (1997), 1-26.
[3] S. Basu et al., Predictability of atmospheric boundary layer flows as a function of scale, Geophysical Research Letters 29 (2002).
[4] G. Boffetta et al., An extension of the Lyapunov analysis for the predictability problem, Journal of the Atmospheric Sciences 55(23) (1998), 3409-3416.
[5] G. Boffetta et al., Predictability: A way to characterize complexity, Physics Reports 356 (2002), 367-474.
[6] CHAMMP, Spectral Transform Shallow Water Model,
http://www.csm.ornl.gov/chammp.html/
[7] A. Crisanti et al., Intermittency and predictability in turbulence, Phys. Rev. Lett. 70 (1993), 166-169.
[8] W. Kinsner, Characterizing Chaos through Lyapunov Metrics, University of Manitoba, Canada, 2003.
[9] G. Lacorata et al., Drifter dispersion in the Adriatic Sea: Lagrangian data and chaotic model, Journal of the Annales Geophysicae (2001), 121-129.
[10] C. Leith et al., Predictability of turbulence flows, Journal of the Atmospheric Sciences 29 (1972), 1041-1058.
[11] J. Liu et al., Chaotic phenomenon and the maximum predictable time scale of observation series of urban hourly water consumption, Journal of Zhejiang University Science (2004), 1053-1059.
[12] P. Sangapate and D. Sukawat, Predictability in spectral shallow water model, Far East J. Dynamical Systems 10(1) (2008), 81-92.
[13] T. Shibata et al., Collective Chaos, Phys. Rev. Lett. 81(19) (1998).
[14] J. Tribbia, An Introduction to Three-dimensional Climate Modeling, Oxford University, New York, 1992, pp. 325-356.
[15] D. L. Williamson et al., A standard test set for numerical approximations to the shallow water equations in spherical geometry, J. Comput. Phy. 102 (1992), 211-224. |
Home
