Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Risk in Water Resources Management |
| Seiten | 10-15 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - 2011 |
| Veranstaltung | Symposium H03 on Risk in Water Resources Management, Held During the 25th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2011 - Melbourne, Australien Dauer: 28 Juni 2011 → 7 Juli 2011 |
Publikationsreihe
| Name | IAHS-AISH Publication |
|---|---|
| Band | 347 |
| ISSN (Print) | 0144-7815 |
Abstract
Hourly precipitation data sets are generated with a stochastic rainfall model and using a statistic disaggregation approach. The synthetic rainfall data are used as input for a continuous hydrological model applied to a mesoscale catchment in the Bode River basin in Germany. The simulated flows are analysed regarding the derived probability distributions of annual peak flows. The results show significant differences in flood probabilities for using spatially random rainfall, homogeneous rainfall or spatially structured rainfall. The direct calibration of the hydrological model using stochastic rainfall on flood probability distributions generally reduces both the bias and the variability in the simulated flows compared to the standard procedure using observed rainfall and runoff time series for calibration.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
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Risk in Water Resources Management. 2011. S. 10-15 (IAHS-AISH Publication; Band 347).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Reducing uncertainty in derived flood frequency analysis related to rainfall forcing and model calibration
AU - Haberlandt, Uwe
AU - Radtke, Imke
PY - 2011
Y1 - 2011
N2 - Hourly precipitation data sets are generated with a stochastic rainfall model and using a statistic disaggregation approach. The synthetic rainfall data are used as input for a continuous hydrological model applied to a mesoscale catchment in the Bode River basin in Germany. The simulated flows are analysed regarding the derived probability distributions of annual peak flows. The results show significant differences in flood probabilities for using spatially random rainfall, homogeneous rainfall or spatially structured rainfall. The direct calibration of the hydrological model using stochastic rainfall on flood probability distributions generally reduces both the bias and the variability in the simulated flows compared to the standard procedure using observed rainfall and runoff time series for calibration.
AB - Hourly precipitation data sets are generated with a stochastic rainfall model and using a statistic disaggregation approach. The synthetic rainfall data are used as input for a continuous hydrological model applied to a mesoscale catchment in the Bode River basin in Germany. The simulated flows are analysed regarding the derived probability distributions of annual peak flows. The results show significant differences in flood probabilities for using spatially random rainfall, homogeneous rainfall or spatially structured rainfall. The direct calibration of the hydrological model using stochastic rainfall on flood probability distributions generally reduces both the bias and the variability in the simulated flows compared to the standard procedure using observed rainfall and runoff time series for calibration.
KW - Continuous hydrologic modelling
KW - Derived flood frequency analysis
KW - Model calibration
KW - Rainfall disaggregation
KW - Stochastic rainfall
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84860590859&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84860590859
SN - 9781907161223
T3 - IAHS-AISH Publication
SP - 10
EP - 15
BT - Risk in Water Resources Management
T2 - Symposium H03 on Risk in Water Resources Management, Held During the 25th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2011
Y2 - 28 June 2011 through 7 July 2011
ER -