Cel 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. Dziedzina nauki 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 Program(-y) 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) Temat(-y) ERC-AG-PE10 - ERC Advanced Grant - Earth system science Zaproszenie do składania wniosków ERC-2012-ADG_20120216 Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-AG - ERC Advanced Grant Instytucja przyjmująca UNIVERSITEIT UTRECHT Wkład UE € 2 447 200,00 Adres HEIDELBERGLAAN 8 3584 CS Utrecht Niderlandy Zobacz na mapie Region West-Nederland Utrecht Utrecht Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Jeannot Alphonse Trampert (Prof.) Kontakt administracyjny Bas Leeflang (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (2) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko UNIVERSITEIT UTRECHT Niderlandy Wkład UE € 2 447 200,00 Adres HEIDELBERGLAAN 8 3584 CS Utrecht Zobacz na mapie Region West-Nederland Utrecht Utrecht Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Jeannot Alphonse Trampert (Prof.) Kontakt administracyjny Bas Leeflang (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Szwajcaria Wkład UE € 1 033 400,00 Adres Raemistrasse 101 8092 Zuerich Zobacz na mapie Region Schweiz/Suisse/Svizzera Zürich Zürich Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Paul J. Tackley (Prof.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych
