@misc{EcksteinSchwarz2019,
  author    = {Eckstein, Lars and Schwarz, Anja},
  title     = {La carte de Tupaia, ma{\^i}tre d'astres et de navigation polyn{\´e}sienne},
  series = {Postprints der Universit{\"a}t Potsdam : Philosophische Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Philosophische Reihe},
  number    = {170},
  issn      = {1866-8380},
  doi       = {10.25932/publishup-44538},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-445381},
  pages     = {156},
  year      = {2019},
  abstract  = {La carte de Tupaia constitue l'un des art{\´e}facts les plus c{\´e}l{\`e}bres et les plus {\´e}nigmatiques {\`a} {\´e}merger des toutes premi{\`e}res rencontres entre Europ{\´e}ens et {\^i}liens du Pacifique. Elle a {\´e}t{\´e} {\´e}labor{\´e}e entre ao{\^u}t 1769 et f{\´e}vrier 1770 par Tupaia, pr{\^e}tre 'arioi, conseiller royal et ma{\^i}tre de navigation originaire de Ra'iātea, aux {\^I}les Sous-le-Vent de la Soci{\´e}t{\´e}. En collaboration avec divers membres d'{\´e}quipage de l'Endeavour de James Cook, en deux temps distincts de cartographie et trois {\´e}bauches. L'identit{\´e} de bien des {\^i}les qui y figurent et la logique de leur agencement demeuraient jusqu'{\`a} pr{\´e}sent des {\´e}nigmes. En se fiant en partie {\`a} des pi{\`e}ces d'archives rest{\´e}es ignor{\´e}es, nous proposons, dans ce long essai, une nouvelle compr{\´e}hension de sa logique cartographique, une reconstitution d{\´e}taill{\´e}e de sa gen{\`e}se et donc, pour la toute premi{\`e}re fois, une lecture exhaustive. La carte de Tupaia n'illustre pas seulement la magnitude et la ma{\^i}trise de la navigation polyn{\´e}sienne, elle r{\´e}alise aussi une remarquable synth{\`e}se repr{\´e}sentationnelle de deux syst{\`e}mes d'orientation tr{\`e}s diff{\´e}rents.},
  language  = {fr}
}
@misc{ZieglerHeidbachReineckeretal.2016,
  author    = {Ziegler, Moritz O. and Heidbach, Oliver and Reinecker, John and Przybycin, Anna M. and Scheck-Wenderoth, Magdalena},
  title     = {A multi-stage 3-D stress field modelling approach exemplified in the Bavarian Molasse Basin},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {556},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-40980},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-409806},
  pages     = {18},
  year      = {2016},
  abstract  = {The knowledge of the contemporary in situ stress state is a key issue for safe and sustainable subsurface engineering. However, information on the orientation and magnitudes of the stress state is limited and often not available for the areas of interest. Therefore 3-D geomechanical-numerical modelling is used to estimate the in situ stress state and the distance of faults from failure for application in subsurface engineering. The main challenge in this approach is to bridge the gap in scale between the widely scattered data used for calibration of the model and the high resolution in the target area required for the application. We present a multi-stage 3-D geomechanical-numerical approach which provides a state-of-the-art model of the stress field for a reservoir-scale area from widely scattered data records. Therefore, we first use a large-scale regional model which is calibrated by available stress data and provides the full 3-D stress tensor at discrete points in the entire model volume. The modelled stress state is used subsequently for the calibration of a smaller-scale model located within the large-scale model in an area without any observed stress data records. We exemplify this approach with two-stages for the area around Munich in the German Molasse Basin. As an example of application, we estimate the scalar values for slip tendency and fracture potential from the model results as measures for the criticality of fault reactivation in the reservoir-scale model. The modelling results show that variations due to uncertainties in the input data are mainly introduced by the uncertain material properties and missing S-Hmax magnitude estimates needed for a more reliable model calibration. This leads to the conclusion that at this stage the model's reliability depends only on the amount and quality of available stress information rather than on the modelling technique itself or on local details of the model geometry. Any improvements in modelling and increases in model reliability can only be achieved using more high-quality data for calibration.},
  language  = {en}
}