| Oceanography > Issues > Archive > Volume 5 > Issue 1 |
1992, Oceanography 5(1):19–24, http://dx.doi.org/10.5670/oceanog.1992.27
Data Assimilation and Predictability Studies for the Coupled Ocean-Atmosphere System
Authors | First Paragraph | Full Article | Citation
Authors
Michael Ghil | Department of Atmospheric Sciences and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, CA, USA
Carlos R. Mechoso | Department of Atmospheric Sciences, University of California, Los Angeles, CA, USA
First Paragraph
As oceanic data sets increase dramatically in quality and quantity in the near future, and both oceanic and atmospheric models improve apace, the predictability of the coupled ocean-atmosphere system will become more important on the theoretical level and more critical on the practical level. Predictability of the atmosphere with prescribed sea-surface temperatures (SST) has been evaluated; numerous studies indicate that two initially very similar atmospheric states will lead to time evolutions that on the average diverge and become uncorrelated over an interval on the order of 2 weeks. There is also a growing literature on the predictability of the upper ocean with prescribed atmospheric wind stress and heat fluxes. But the variability, and hence predictability, of the coupled system is quite different from the sum, product, or any other simple function of its parts (Ghil et al., 1991a).
Full Article
Citation
Ghil, M., and C.R. Mechoso. 1992. Data assimilation and predictability studies for the coupled ocean-atmosphere system. Oceanography 5(1):19–24, http://dx.doi.org/10.5670/oceanog.1992.27.