Objetivo How are deep mantle processes related to the mapped geological record? How can we reconcile geochemical observations with geophysical inferences? These are first order unanswered questions despite our steady progress in imaging the Earth's internal structure and understanding the high temperature and pressure properties of minerals. To make a breakthrough, we have to understand solid-state convection in the Earth's mantle in much greater detail. Much is known about the physical processes, such as melting and the delicate interaction between thermal and chemical buoyancy, but the parameters that enter their mathematical description are not very well known. Once these parameters are determined, the thermo-chemical evolution of our planet can self-consistently be modelled. The state-of-the-art is to roughly estimate these parameters and qualitatively compare the modelling to some relevant geophysical, geochemical or geological observations. This comparison is not comprehensive and never explains all observables. We propose a radically new approach, where all observables are used together to infer these parameters directly, using a fully non-linear Bayesian inference technique based on neural networks. This will determine for the first time the initial conditions at the Earth's formation, the Earth-like flow parameters essential to model the thermo-chemical evolution of our planet and produce models that are simultaneously consistent with the main different geophysical and geochemical datasets. Ámbito científico natural sciencesearth and related environmental sciencesgeochemistrynatural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statisticsnatural sciencesphysical sciencesastronomyplanetary sciencesplanetsnatural sciencesearth and related environmental sciencesgeophysicsnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programa(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Tema(s) ERC-AG-PE10 - ERC Advanced Grant - Earth system science Convocatoria de propuestas ERC-2012-ADG_20120216 Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-AG - ERC Advanced Grant Institución de acogida UNIVERSITEIT UTRECHT Aportación de la UE € 2 447 200,00 Dirección HEIDELBERGLAAN 8 3584 CS Utrecht Países Bajos Ver en el mapa Región West-Nederland Utrecht Utrecht Tipo de actividad Higher or Secondary Education Establishments Investigador principal Jeannot Alphonse Trampert (Prof.) Contacto administrativo Bas Leeflang (Dr.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos Beneficiarios (2) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo UNIVERSITEIT UTRECHT Países Bajos Aportación de la UE € 2 447 200,00 Dirección HEIDELBERGLAAN 8 3584 CS Utrecht Ver en el mapa Región West-Nederland Utrecht Utrecht Tipo de actividad Higher or Secondary Education Establishments Investigador principal Jeannot Alphonse Trampert (Prof.) Contacto administrativo Bas Leeflang (Dr.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Suiza Aportación de la UE € 1 033 400,00 Dirección Raemistrasse 101 8092 Zuerich Ver en el mapa Región Schweiz/Suisse/Svizzera Zürich Zürich Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Paul J. Tackley (Prof.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos
