Information - NP4.03 Simple dynamical models from data: a tool for parametrizations and diagnostics (co-listed in CL)
The earth climate system includes many processes acting
on a wide range of spatial and time scales.
Simple dynamical models can help to identify the role of
individual processes and to understand their feedbacks.
Furthermore, they may represent a useful tool for
developing new parametrizations for general circulation
models and for interpreting their results.
Inferring such low dimensional models from available
observed data requires a wide range of approaches from
the fields of nonlinear dynamic systems theory, stochastic
modelling, and novel data analysis techniques.
This session aims at discussing:
the use of simple dynamical models for
- identifying the role of key processes in the climate system
- the construction of new parametrization schemes
- diagnosis and interpretation of results of more complex models
data analysis techniques for the inference of dynamical
models from observations or from the output of complex models
In particular climate and paleoclimate are two fields in which
these approaches can find useful application, due to the large
uncertainty in assessing key mechanisms at work and understanding
observed dynamics, but relevant contributions from all areas
of geophysics are welcome.
Preliminary List of Solicited Speakers
Joe LaCasce - Norwegian Meteorological Institute
AGU Nonlinear Focus Group
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