Details
| Original language | English |
|---|---|
| Title of host publication | Flood Risk Assessment and Management |
| Subtitle of host publication | How to Specify Hydrological Loads, Their Consequences and Uncertainties |
| Publisher | Springer Netherlands |
| Pages | 117-147 |
| Number of pages | 31 |
| ISBN (print) | 9789048199167 |
| Publication status | Published - 2011 |
Abstract
This chapter discusses various approaches for stochastic rainfall synthesis focusing on methods for generation of short time step precipitation as required for flood studies. A brief introduction motivates the utilisation of rainfall generators for flood modelling. Then special characteristics of rainfall as stochastic process are discussed. The rainfall models presented in the following are classified in alternating renewal models, time series models, point process models, disaggregation and resampling approaches. They are usually applied for continuous unconditional simulation of rainfall series in time and/or in space. Two case studies at the end of the chapter illustrate the application of daily and hourly space-time precipitation models for flood studies.
ASJC Scopus subject areas
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Flood Risk Assessment and Management: How to Specify Hydrological Loads, Their Consequences and Uncertainties. Springer Netherlands, 2011. p. 117-147.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Rainfall generators for application in flood studies
AU - Haberlandt, Uwe
AU - Hundecha, Yeshewatesfa
AU - Pahlow, Markus
AU - Schumann, Andreas H.
PY - 2011
Y1 - 2011
N2 - This chapter discusses various approaches for stochastic rainfall synthesis focusing on methods for generation of short time step precipitation as required for flood studies. A brief introduction motivates the utilisation of rainfall generators for flood modelling. Then special characteristics of rainfall as stochastic process are discussed. The rainfall models presented in the following are classified in alternating renewal models, time series models, point process models, disaggregation and resampling approaches. They are usually applied for continuous unconditional simulation of rainfall series in time and/or in space. Two case studies at the end of the chapter illustrate the application of daily and hourly space-time precipitation models for flood studies.
AB - This chapter discusses various approaches for stochastic rainfall synthesis focusing on methods for generation of short time step precipitation as required for flood studies. A brief introduction motivates the utilisation of rainfall generators for flood modelling. Then special characteristics of rainfall as stochastic process are discussed. The rainfall models presented in the following are classified in alternating renewal models, time series models, point process models, disaggregation and resampling approaches. They are usually applied for continuous unconditional simulation of rainfall series in time and/or in space. Two case studies at the end of the chapter illustrate the application of daily and hourly space-time precipitation models for flood studies.
UR - http://www.scopus.com/inward/record.url?scp=84889961502&partnerID=8YFLogxK
U2 - 10.1007/978-90-481-9917-4_7
DO - 10.1007/978-90-481-9917-4_7
M3 - Contribution to book/anthology
AN - SCOPUS:84889961502
SN - 9789048199167
SP - 117
EP - 147
BT - Flood Risk Assessment and Management
PB - Springer Netherlands
ER -