LEADER 01839nam  2200421z- 450 
001 9910346955703321
005 20231214141231.0
010   $a1000080495
035   $a(CKB)4920000000100965
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60055
035   $a(EXLCZ)994920000000100965
100   $a20202102d2018      |y             0
101 0 $ager
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse
210   $cKIT Scientific Publishing$d2018
215   $a1 electronic resource (V, 264 p. p.)
225 1 $aWissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
311   $a3-7315-0761-7 
330   $aThe 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.
610   $aNiederschlag
610   $aprecipitation
610   $aStochastik
610   $aMeteorologie
610   $aSimulation
610   $aflood risk
610   $ameteorology
610   $asimulation
610   $astochastic
610   $aHochwasser
700   $aEhmele$b Florian Tim$4auth$01314041
906   $aBOOK
912   $a9910346955703321
996   $aStochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse$93031616
997   $aUNINA