Kristopher Born

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This paper presents a solution to the TTC2016 challenge " The Class Responsibility Assignment Case ". Our solution uses the Henshin model transformation language to specify genetic operators in a standard genetic algorithm framework. Due to its formal foundation based on algebraic graph transformations, Henshin is well-suited to specify fundamental change(More)
Rule-based model transformation approaches show two kinds of non-determinism: (1) Several rules may be applicable to the same model and (2) a rule may be applicable at several different matches. If two rule applications to the same model exist, they may be in conflict, i.e., one application may disable the other one. Furthermore, rule applications may(More)
We present projections of winter storm-induced insured losses in the German residential building sector for the 21st century. With this aim, two structurally most independent downscaling methods and one hybrid downscaling method are applied to a 3-member ensemble of ECHAM5/MPI-OM1 A1B scenario simulations. One method uses dynamical downscaling of intense(More)
The simulation of local scale precipitation with nested models often suffers from large errors in the boundary rows. Advection of precipitation into the model domain of the small scale model can lead to an overestimation of precipitation in the boundary grid cells of the nested model and a drying of the interior grid area. Consequently, the finer scale(More)
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