SLIVisu - Visual analysis methods to validate simulation models against imprecise terrestrial observations
The validation of a simulation model is a crucial task in model development. It involves the comparison of simulation data to observation data and the identification of suitable model parameters. Our visual analysis framework enables geoscientists to perform these tasks for observation data that is sparse and uncertain.
Video: SLIVisu - Visual analysis methods to validate simulation models against imprecise terrestrial observations (mp4)
Publication: Unger, A., Schulte, S., Klemann, V., Dransch, D. (2012): A Visual Analytics Concept for the Validation of Geoscientific Simulation Models. - IEEE Transactions on Visualization and Computer Graphics, 18, 12, p. 2216-2225.
Softwarepublication: Unger, Andrea; Rabe, Daniela; Klemann, Volker; Eggert, Daniel; Dransch, Doris (2018): Slivisu: A visual analytics tool to validate simulation models against collected data. V. 1.0.0. GFZ German Research Centre for Geosciences. http://doi.org/10.5880/GFZ.1.5.2018.007
In cooperation with GFZ Section 1.3: Earth System Modeling