3-D-Deutschland (3-D-D): A three-dimensional lithospheric-scale thermal model of Germany
Abstract ; We present a 3-D lithospheric-scale model covering the area of Germany that images the regional structural configuration. The model comprises 31 lithostratigraphic units: seawater, 14 sedimentary units, 14 crystalline crustal units and 2 lithospheric mantle units. The corresponding surfaces are integrated from previous studies of the Central European Basin System, the Upper Rhine Graben and the Molasse Basin, together with published geological and geophysical data. The model is a result of a combined workflow consisting of 3-D structural, gravity and thermal modelling applied to der... Mehr ...
Abstract ; We present a 3-D lithospheric-scale model covering the area of Germany that images the regional structural configuration. The model comprises 31 lithostratigraphic units: seawater, 14 sedimentary units, 14 crystalline crustal units and 2 lithospheric mantle units. The corresponding surfaces are integrated from previous studies of the Central European Basin System, the Upper Rhine Graben and the Molasse Basin, together with published geological and geophysical data. The model is a result of a combined workflow consisting of 3-D structural, gravity and thermal modelling applied to derive the 3-D thermal configuration.The top surface elevations and thicknesses of corresponding layers of the 3-D-D model are provided as ASCII files, one for each individual layer of the model. The columns in each file are identical: the Easting is given in the “X COORD (UTM Zone 32N)”, the Northing is in the “Y COORD (UTM Zone 32N)”, the top surface elevation of each layer is given as "TOP (m.a.s.l)", the thickness of each layer is given as "THICKNESS (m)". ; TechnicalInfo ; Coordinate system: UTM zone 32 Units: meters ; Methods ; The applied morel creation workflow comprises (1) structural modelling to correlate the lithostratigraphic units derived from the different input models, followed by (2) a validation of the derived configuration with 3-D gravity modelling and, lastly, (3) the calculation of the conductive thermal field. The main challenge in joining the three existing models was to identify layers of corresponding lithostratigraphy and to merge these for the whole 3-D-D model area. Therefore, we revisited published seismological data to overcome inconsistencies across the boundaries of the input models.