Browsing by Author "Böttinger, Michael"

Now showing items 1-5 of 5

    • Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering 

      Kappe, Christopher; Böttinger, Michael; Leitte, Heike (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In order to gain probabilistic results, ensemble simulation techniques are increasingly applied in the weather and climate sciences (as well as in various other scientific disciplines). In many cases, however, only mean ...

    • Automatic Improvement of Continuous Colormaps in Euclidean Colorspaces 

      Nardini, Pascal; Chen, Min; Böttinger, Michael; Scheuermann, Gerik; Bujack, Roxana (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Colormapping is one of the simplest and most widely used data visualization methods within and outside the visualization community. Uniformity, order, discriminative power, and smoothness of continuous colormaps are the ...

    • Fiber Surfaces for many Variables 

      Blecha, Christian; Raith, Felix; Präger, Arne Jonas; Nagel, Thomas; Kolditz, Olaf; Maßmann, Jobst; Röber, Niklas; Böttinger, Michael; Scheuermann, Gerik (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Scientific visualization deals with increasingly complex data consisting of multiple fields. Typical disciplines generating multivariate data are fluid dynamics, structural mechanics, geology, bioengineering, and climate ...

    • Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles 

      Evers, Marina; Böttinger, Michael; Linsen, Lars (The Eurographics Association, 2023)
      Spatio-temporal multi-field data resulting from ensemble simulations are commonly used in climate research to investigate possible climatic developments and their certainty. One analysis goal is the investigation of possible ...

    • Topology-based Feature Detection in Climate Data 

      Kappe, Christopher P.; Böttinger, Michael; Leitte, Heike (The Eurographics Association, 2019)
      The weather and climate research community needs to analyze increasingly large datasets, mostly obtained by observations or produced by simulations. Ensemble simulation techniques, which are used to capture uncertainty, ...