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Central Europe, 3D Model, georeferenced grids, subsurface geology, tectonostratigraphic units, formation tops, layer thickness, sedimentary cover, basement rocks, crystalline crust, lithospheric mantle, Northeast German Basin, Central European Basin System, Berlin, Urban Subsurface, compound material, information > geo-referenced information, lithosphere > earth's crust > sedimentary basin, science > natural science > earth science > geology, science > natural science > earth science > geology > hydrogeology, science > natural science > earth science > geophysics, Phanerozoic, The Present
Abstract:
This dataset provides the grid files which were used to generate the 3d structural model for Berlin, capital city of Germany. It covers a rectangular area around the political boundaries of Berlin. Geologically the region is located in the Northeast German Basin which is in turn part of the Central European Basin System. The data publication is a compliment to the publications Frick et al., (2019) and Haacke et al., (2019) and resolves 23 geological units. These can be separated into eight Cenozoic, eight Mesozoic and three Paleozoic units, the upper and lower crust as well as the lithospheric mantle.
We present files which show the regional variation in depth and thickness of all units in the form of regularly spaced grids where the grid spacing is 100 m. This model was created as part of the ongoing project Geothermal potential Berlin which was also partly situated in Energy Systems 2050, both of whom look at the evaluation of the local thermal field and the closely related geothermal potential. These are obtained by simulating fluid- and heatflow in 3d with numerical models built based on the data presented here. These numerical models and simulations rely heavily on a precise representation of the subsurface distribution of rock properties which are in turn linked to the different geological units. Hence, we integrated all available geological and geophysical data (see related work) into a consistent 3D structural model and will describe shortly how this was carried out (Methods).
For further information the reader is referred to Frick et al., (2016) and Frick et al., (2019).
