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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing
    UID:
    gbv_1778520847
    Format: 1 Online-Ressource (V, 264 p.)
    ISBN: 9783731507611
    Series Statement: Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
    Content: 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
    Note: German
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_9949711131602882
    Format: 1 electronic resource (V, 264 p. p.)
    ISBN: 1000080495
    Series Statement: Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
    Content: 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.
    Note: German
    Additional Edition: ISBN 3-7315-0761-7
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    edoccha_9959145950502883
    Format: 1 electronic resource (V, 264 p. p.)
    ISBN: 1000080495
    Series Statement: Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
    Content: 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.
    Note: German
    Additional Edition: ISBN 3-7315-0761-7
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    edocfu_9959145950502883
    Format: 1 electronic resource (V, 264 p. p.)
    ISBN: 1000080495
    Series Statement: Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
    Content: 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.
    Note: German
    Additional Edition: ISBN 3-7315-0761-7
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Karlsruhe : KIT Scientific Publishing
    UID:
    b3kat_BV046703662
    Format: 1 Online-Ressource (v, 264 Seiten) , Illustrationen, Diagramme, Karten
    ISBN: 9783731507611
    Series Statement: Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie Band 76
    Note: Dissertation Karlsruhe, Karlsruher Institut für Technologie (KIT) 2017
    Language: German
    Subjects: Geography
    RVK:
    Keywords: Monte-Carlo-Simulation ; Niederschlag ; Hochwasservorhersage ; Hochschulschrift
    URL: Volltext  (kostenfrei)
    URL: Volltext  (Kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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