Friedrich-Wilhelm Gerstengarbe

Learn More
– In studies of spatially confined networks, network measures can lead to false conclusions since most measures are boundary affected. This is especially the case if boundaries are artificial and not inherent in the underlying system of interest (e.g., borders of countries). An analytical estimation of boundary effects is not trivial due to the complexity(More)
  • J H Feldhoff, J F, J Gerstengarbe, F.-W, Jan H Feldhoff, Stefan Lange +5 others
  • 2015
(2015): Complex networks for climate model evaluation with application to statistical versus dynamical modeling of South American climate. Abstract In this study we introduce two new node-weighted difference measures on complex networks as a tool for climate model evaluation. The approach facilitates the quantification of a model's ability to reproduce the(More)
  • 1