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...
| Format: | eBook |
|---|---|
| Language: | German |
| Published: |
KIT Scientific Publishing
2018
|
| Series: | Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
|
| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
| LEADER | 02174namaa2200493uu 4500 | ||
|---|---|---|---|
| 001 | doab60055 | ||
| 003 | oapen | ||
| 005 | 20210212 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 210212s2018 xx |||||o ||| 0|ger d | ||
| 020 | |a 9783731507611 | ||
| 020 | |a KSP/1000080495 | ||
| 024 | 7 | |a 10.5445/KSP/1000080495 |2 doi | |
| 040 | |a oapen |c oapen | ||
| 041 | 0 | |a ger | |
| 042 | |a dc | ||
| 072 | 7 | |a PH |2 bicssc | |
| 720 | 1 | |a Ehmele, Florian Tim |4 aut | |
| 245 | 0 | 0 | |a Stochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse |
| 260 | |b KIT Scientific Publishing |c 2018 | ||
| 300 | |a 1 online resource (V, 264 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie | |
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |u https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a German | ||
| 650 | 7 | |a Physics |2 bicssc | |
| 653 | |a flood risk | ||
| 653 | |a Hochwasser | ||
| 653 | |a Meteorologie | ||
| 653 | |a meteorology | ||
| 653 | |a Niederschlag | ||
| 653 | |a precipitation | ||
| 653 | |a simulation | ||
| 653 | |a Simulation | ||
| 653 | |a stochastic | ||
| 653 | |a Stochastik | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/60055 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://www.ksp.kit.edu/9783731507611 |7 0 |z Open Access: DOAB, download the publication |