Konferenzbeitrag
Visualisierung als Werkzeug zur Analyse von Klimasimulationsdaten
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Datum
1998
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Verlag
Metropolis
Zusammenfassung
Climate research relies on compute and data intensive simulations, which have become possible during the last two decades. State of the art climate simulations are performed with coupled numerical models of the subsystems ocean, atmosphere, cryosphere and the biosphere. The resulting data sets consist of numerical values for several physical quantities like velocity components, pressure, temperature etc. on regulary grids at discreet time stamps. The analysis of these multi dimensional data sets can only be done by statistical and visual methods. Although 2-D visualization methods are only capable to give information about small slices of the total data volume at a time, they are often very useful and widely used for routine analysis of model data and for the publications of results. For a more detailed visual investigation of the data and in order to study the time dependence of the results more sophisticated approaches are mandatory. 3-D visualization techniques allow the study of the three dimensional structure of physical quantities. Animated 3-D visualizations can show in great depth the trends of even more than one relevant physical property. An even better understanding of the data might be enabled through the skilful use of stereoscopic techniques.