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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Kaituhi matua: Ehmele, Florian Tim
Hōputu: Online
Reo:Tiamana
I whakaputaina: KIT Scientific Publishing 2021
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Urunga tuihono:34194
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author Ehmele, Florian Tim
author_browse Ehmele, Florian Tim
author_facet Ehmele, Florian Tim
author_sort Ehmele, Florian Tim
collection Directory of Open Access Books
description 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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publishDateRange 2021
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spelling doab-20.500.12854ir-600552024-04-04T19:19:05Z Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse Ehmele, Florian Tim QC1-999 Niederschlag precipitation Stochastik Meteorologie Simulation flood risk meteorology simulation stochastic Hochwasser bic Book Industry Communication::P Mathematics & science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics 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. 2021-02-12T04:37:14Z 2021-02-12T04:37:14Z 2019-07-28 18:37:01 2018 book 34194 1795619 9783731507611 https://directory.doabooks.org/handle/20.500.12854/60055 ger Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731507611 KIT Scientific Publishing 10.5445/KSP/1000080495 10.5445/KSP/1000080495 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731507611 V, 264 p. open access
spellingShingle QC1-999
Niederschlag
precipitation
Stochastik
Meteorologie
Simulation
flood risk
meteorology
simulation
stochastic
Hochwasser
bic Book Industry Communication::P Mathematics & science::PH Physics
thema EDItEUR::P Mathematics and Science::PH Physics
Ehmele, Florian Tim
Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
title Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
title_full Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
title_fullStr Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
title_full_unstemmed Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
title_short Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
title_sort stochastische simulation grossflachiger hochwasserrelevanter niederschlagsereignisse
topic QC1-999
Niederschlag
precipitation
Stochastik
Meteorologie
Simulation
flood risk
meteorology
simulation
stochastic
Hochwasser
bic Book Industry Communication::P Mathematics & science::PH Physics
thema EDItEUR::P Mathematics and Science::PH Physics
topic_facet QC1-999
Niederschlag
precipitation
Stochastik
Meteorologie
Simulation
flood risk
meteorology
simulation
stochastic
Hochwasser
bic Book Industry Communication::P Mathematics & science::PH Physics
thema EDItEUR::P Mathematics and Science::PH Physics
url 34194
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