Determining and Visualizing Potential Sources of Floods
| dc.contributor.author | Schlegel, S. | en_US |
| dc.contributor.author | Böttinger, M. | en_US |
| dc.contributor.author | Hlawitschka, M. | en_US |
| dc.contributor.author | Scheuermann, G. | en_US |
| dc.contributor.editor | O. Kolditz and K. Rink and G. Scheuermann | en_US |
| dc.date.accessioned | 2014-01-24T10:53:46Z | |
| dc.date.available | 2014-01-24T10:53:46Z | |
| dc.date.issued | 2013 | en_US |
| dc.description.abstract | In this paper, we visually analyze spatio-temporal patterns of different hydrologic parameters relevant for flooding. On the basis of data from climate simulations with a high resolution regional atmosphere model, several extreme events are selected for different river catchments in Germany. By visually comparing the spatial distribution of the main contributions to the run-off along with their temporal evolution for a time period in the 20th and the 21th century, impacts of climate change on the hydrological cycle can be identified. | en_US |
| dc.description.seriesinformation | Workshop on Visualisation in Environmental Sciences (EnvirVis) | en_US |
| dc.identifier.isbn | 978-3-905674-54-5 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/PE.EnvirVis.EnvirVis13.065-069 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.3.3 [Computer Graphics] | en_US |
| dc.subject | Picture/Image Generation | en_US |
| dc.subject | Viewing algorithms | en_US |
| dc.title | Determining and Visualizing Potential Sources of Floods | en_US |
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