Tools for the joint interpretation of geoscientific datasets: the AdriaArray GeometryPicker

Creating data-driven realistic numerical models of certain regions on Earth is a challenging task, as a large number of input parameters are required to constrain the subsurface structure. These input parameters range from geometric parameters describing e.g. slab configurations to rheological input parameters.

With the advent of AdriaArray and related scientific initiatives, a large amount of geophysical, geodetic and geological datasets will become available. Interpreting these datasets together to create consistent interpretations and to facilitate meaningful data-driven numerical models remains problematic. This is due several issues: 1) formats of geoscientific datasets range from ASCII files to netCDF files, with the data often being ordered in different ways and 2) different datasets may have different spatial dimensions, depending on whether they relate to volume, surface or point data. With the julia-based open-source package GeophysicalModelGenerator.jl, a toolbox to merge and process such diverse datasets has been recently become available.

However, to interpret these merged datasets in an efficient manner, additional tools are required. Here we present the software package AdriaArrayGeometryPicker.jl that allows to visualize and interpret a large variety of datasets with a graphical user interface. We show how taking into account different datasets may help their interpretation, but also how different datasets may result in vastly different interpretations.