Information - NP4.03 Inferring dynamical models from observed data
This session aims at providing a forum for discussing
problems and methodologies arising in the difficult
exercise of reconstructing simplified dynamical models
from observed data.
While earth systems commonly comprise numerous important
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.
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.
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
Contributions from these two areas are particularly encouraged
but topical contributions from all areas of Geophysics are welcome.
Preliminary List of Solicited Speakers
Henk Dijkstra, Institute for Marine and Atmospheric Science, Utrecht University
Klaus Fraedrich, Meteorologisches Institut, Universität Hamburg
Michael Ghil, TAO, Ecole Normale Supérieure, Paris
The information contained hereafter has been compiled and
uploaded by the Session Organizers via the "Organizer Session Form".
The Session Organizers have therefore the sole responsibility
that this information is true and accurate at the date of publication,
and the conference organizer cannot accept any legal responsibility
for any errors or omissions that may be made, and he makes no warranty,
expressed or implied, with regard to the material published.