The project concerns the study of the climate system starting with applying recently developed innovative perspectives
for nonlinear dynamical analysis of geophysical data.
The goal is to apply and interpret topological data analysis and complementary nonlinear techniques to understand and model
the fundamental processes at play in direct or indirect observations and on a large span of time scales.
In particular lessons learned from the study of the dynamics of the atmospheric flow at intra-seasonal and seasonal time-scales
will be applied to better understand current limitations in the predictability of variables related to
renewable energy production and to the development of proper strategies to quantify and reduce forecast uncertainty.
CLIMAT-AmSud: is an initiative of the French Cooperation and its counterparts in Argentina, Bolivia, Brazil, Colombia, Chile, Paraguay, Peru and Uruguay. Its objective is to promote and strengthen collaboration and the creation of research and development networks and finance research projects associated with climate variability and climate change, through the execution of joint research projects.
Implementing and applying novel nonlinear data analysis methods to the study of climate dynamics and variability in South America and the South Atlantic, with a particular focus on seasonal climate variability, Lagrangian transport and renewable energy production.
The climate system is a dissipative, nonlinear, complex and heterogeneous system that exhibits natural variability on many scales of motion, in time as well as space, and that is subject to both natural and anthropogenic external forcings. The theory of nonlinear dynamical systems provides a powerful way of considering nonlinear systems of equations that govern geophysical and other flows and phenomena, from biology to society. Low-order models in climate dynamics are highly desirable, since they can provide insight about dynamic interactions between different components of the climate system at a much lower computational cost than those required from high-resolution numerical simulations. These simple models can be used to understand the development of large scale anomalies in atmospheric circulation in the Southern hemisphere and also contribute to understanding their predictability at seasonal scales for concrete applications such as renewable energy productions. The possibility of improving our current understanding of noise-driven systems with the new tools will also be considered.
This proposal gathers specialists with a know-how in the most challenging aspects of the focused research field:
Mathematical methods for weather & climate (CIMA-Argentina),
Numerical models and data assimilation (CMM-Chile, CEAZA-Chile),
Stochastic models for climate dynamics (ENS-France, LEGOS-France),
Lagrangian analysis of multisatellite data (LOCEAN France),
Paleoclimatic modeling (PUC-Chile, IFAECI-France/Argentina),
Forecasts for renewable energy production (IMFIA-FING, Uruguay),
Bio-sampling mammals of the ocean environment for the observation of oceanographic conditions (CEBC France, within a program with CNES France and CONAE Argentina),
Global modelling techniques (CORIA with CESBIO, France) and
Topology of dynamical reconstructions (IFAECI- France / Argentina).
International Coordinator: Denisse Sciamarella, CNRS, France