• Galanis, G., P. Louka, P. Katsafados, G. Kallos, and I. Pytharoulis (2005), Applications of Kalman filters based on non-linear functions to numerical weather predictions, Ann. Geophys., 24, 24512460.
  • Gill, A. E. (1982), Atmosphere-Ocean Dynamics, 662 pp., Academic, San Diego, Calif.
  • Ivanov, L. M., and P. C. Chu (2007a), On stochastic stability of regional ocean models to finite-amplitude perturbations of initial conditions, Dyn. Atmos. Oceans, 43, 199225, doi:10.1016/j.dynatmoce.2007.03.001.
  • Ivanov, L. M., and P. C. Chu (2007b), On stochastic stability of regional ocean models with uncertainty in wind forcing, Nonlinear Processes Geophys., 14, 655670.
  • Johnson, N., S. Kotz, and N. Balakrishnan (1994), Continuous Univariate Distributions, vol. 1, 756 pp., John Wiley, Hoboken, N. J.
  • Lozano, C. J., A. R. Robinson, H. G. Arrango, A. Gangopadhyay, Q. Sloan, P. J. Haley, L. Anderson, and W. Leslie (1996), An interdisciplinary ocean prediction system: Assimilation strategies and structured data models, in Modern Approaches to Data Assimilation in Ocean Modeling, edited by P. Malanotte-Rizzoli, Elsevier, Amsterdam.
  • Monahan, A. H. (2006), The probability distribution of sea surface wind speeds. part 1: Theory and SeaWinds observations, J. Clim., 19, 497519.
  • McPhaden, M. J., et al. (1998), The Tropical Ocean–Global Atmosphere (TOGA) observing system: A decade of progress, J. Geophys. Res., 103, 14,16914,240.
  • Pollard, R. T., and R. C. Millard (1970), Comparison between observed and simulated wind-generated inertial oscillations, Deep Sea Res., 17, 795812.