EOF analysis of surface temperature field in a stochastic climate model Academic Article uri icon


  • This study makes use of a simple stochastic energy balance climate model that resolves the land-sea distribution and that includes a crude upwelling-diffusion deep ocean to study the natural variability of the surface temperature in different frequency bands. This is done by computing the eigenfunctions of the space-time lagged covariance function. The resulting frequency-dependent theoretical orthogonal functions (fdTOFs) are compared with the corresponding frequency-dependent empirical orthogonal functions (fdEOFs) derived from 40 yr of data. The computed and modeled eigenvalues are consistent with the difference mainly explained by sampling error due to the short observational record. -from Authors

published proceedings

  • Journal of Climate

author list (cited authors)

  • Kim, K. Y., & North, G. R.

citation count

  • 25

complete list of authors

  • Kim, KY||North, GR

publication date

  • January 1993