ANR Geronimo

Advanced Geophysical Reduced-Order Model from Image Observations

What is Geronimo?

    Geronimo is a research project funded by the National Agency of Research, France. Its objective is the conception of new techniques for the construction of geophysical reduced-order models (ROMs) from image data. The project both arises from the crucial need of accurate low-order descriptions of highly-complex geophysical phenomena and the recent numerical revolution which has supplied the geophysical scientists with an unprecedented volume of image data.

The precise characterization of geophysical phenomena is a crucial need in many domains of everyday life and can have a dramatic impact in many environmental and economical fields. One can mention, among others, the applications related to climate studies, oceanographic analyses or meteorological forecasting which are of paramount importance for the study of global warming, etc. Unfortunately, the laws ruling such geophysical processes depend on state variables evolving in huge dimensional spaces and are thus totally intractable. In this context, resorting to ROMs, gathering the main features of geophysical systems into a few degrees of freedom, is almost unavoidable.

    The construction of relevant ROMs is a tricky problem since it has to trade carefully between two contradictory goals: decrease the complexity and preserve the model accuracy. On top of that, the construction of ROMs has often to cope with numerous uncertainties on the system parameters (for example unknown intricate boundary conditions or unknown model parameters). These uncertainties are usually ignored in the current literature, with possible dramatic consequences.

    The goal of the Geronimo project thus consists in exploiting the information contained in the image data to reduce the uncertainty on the unknown parameters of the models and improve the accurracy of reduced-order models