Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
The risk estimation of precipitation events with high recurrence periods is difficult due to the limited time scale with meteorological observations. A homogenous distribution of rain gauges, especially in mountainous terrain, is also hardly convertible. In this study an analytical model with a high...
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| Superior document: | Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie |
|---|---|
| : | |
| Year of Publication: | 2018 |
| Language: | German |
| Series: | Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
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| Physical Description: | 1 electronic resource (V, 264 p. p.) |
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| 100 | 1 | |a Ehmele, Florian Tim |4 auth | |
| 245 | 1 | 0 | |a Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse |
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| 490 | 1 | |a Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie | |
| 520 | |a The risk estimation of precipitation events with high recurrence periods is difficult due to the limited time scale with meteorological observations. A homogenous distribution of rain gauges, especially in mountainous terrain, is also hardly convertible. In this study an analytical model with a high spatial resolution, designed for stochastic simulations of flood-related precipitation, is developed, evaluated and applied to different investigation areas in Germany. | ||
| 546 | |a German | ||
| 653 | |a Niederschlag | ||
| 653 | |a precipitation | ||
| 653 | |a Stochastik | ||
| 653 | |a Meteorologie | ||
| 653 | |a Simulation | ||
| 653 | |a flood risk | ||
| 653 | |a meteorology | ||
| 653 | |a simulation | ||
| 653 | |a stochastic | ||
| 653 | |a Hochwasser | ||
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