The principal properties of initial condition and of model errors along with their repercussions on atmospheric predictability are reviewed. A general nonlinear dynamics-inspired approach is developed, from which generic trends are derived. The main ideas are illustrated on selected low-order models capturing the principal qualitative aspects of the phenomena of interest.
CITATION STYLE
Nicolis, C. (2017). Nonlinear Dynamical Approach to Atmospheric Predictability. In Advances in Nonlinear Geosciences (pp. 393–425). Springer International Publishing. https://doi.org/10.1007/978-3-319-58895-7_20
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