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|a 1000080495
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|a 9783731507611
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|a Ehmele, Florian Tim
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| 245 |
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|a Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2018
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| 300 |
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|a 1 electronic resource (V, 264 p. p.)
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| 653 |
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|a flood risk
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| 653 |
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|a Hochwasser
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| 653 |
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|a Simulation
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| 653 |
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|a Physics / bicssc
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| 653 |
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|a Meteorologie
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| 653 |
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|a meteorology
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| 653 |
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|a Stochastik
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| 653 |
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|a stochastic
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| 653 |
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|a simulation
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| 653 |
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|a Niederschlag
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| 653 |
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|a precipitation
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0 |
7 |
|a deu
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
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|a Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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| 024 |
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|a 10.5445/KSP/1000080495
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|u https://directory.doabooks.org/handle/20.500.12854/60055
|z DOAB: description of the publication
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|u https://www.ksp.kit.edu/9783731507611
|7 0
|x Verlag
|3 Volltext
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|a 530
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|a 550
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|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.
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