NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login
Back to Results
Predictability of weather and climate in a coupled ocean-atmosphere model: A dynamical systems approachA dynamical systems approach is used to quantify the instantaneous and time-averaged predictability of a low-order moist general circulation model. Specifically, the effects on predictability of incorporating an active ocean circulation, implementing annual solar forcing, and asynchronously coupling the ocean and atmosphere are evaluated. The predictability and structure of the model attractors is compared using the Lyapunov exponents, the local divergence rates, and the correlation, fractal, and Lyapunov dimensions. The Lyapunov exponents measure the average rate of growth of small perturbations on an attractor, while the local divergence rates quantify phase-spatial variations of predictability. These local rates are exploited to efficiently identify and distinguish subtle differences in predictability among attractors. In addition, the predictability of monthly averaged and yearly averaged states is investigated by using attractor reconstruction techniques.
Document ID
19900012186
Acquisition Source
Legacy CDMS
Document Type
Thesis/Dissertation
Authors
Nese, Jon M. (Pennsylvania State Univ. University Park, PA, United States)
Date Acquired
September 6, 2013
Publication Date
August 1, 1989
Subject Category
Meteorology And Climatology
Report/Patent Number
NAS 1.26:186499
NASA-CR-186499
Accession Number
90N21502
Funding Number(s)
CONTRACT_GRANT: NAGW-1434
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

Related Records

There are no records associated with this record.
No Preview Available