Details
| Original language | English |
|---|---|
| Title of host publication | IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management |
| Pages | 61-69 |
| Number of pages | 9 |
| Edition | 313 |
| Publication status | Published - 2007 |
| Event | 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG) - Perugia, Italy Duration: 2 Jul 2007 → 13 Jul 2007 |
Publication series
| Name | IAHS-AISH Publication |
|---|---|
| Number | 313 |
| ISSN (Print) | 0144-7815 |
Abstract
This contribution discusses possibilities to improve the space-time representativity of precipitation for flood simulations based on some case studies. The spatial representativity of precipitation is considered using an example of the interpolation of hourly rainfall using multivariate geostatistics with additional information from weather radar, daily data and topography. A second example discusses the conditional spatial simulation of rainfall for flood simulation focusing on the uncertainty from precipitation input. Regarding the representativeness of precipitation in time, an example of the disaggregation of daily rainfall into hourly rainfall using a multiplicative random cascade model is presented. Another example deals with stochastic synthesis of hourly precipitation using a modern alternating renewal model.
Keywords
- Disaggregation, Geostatistics, Precipitation model, Radar, Random cascade
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management. 313. ed. 2007. p. 61-69 (IAHS-AISH Publication; No. 313).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Space-time representativity of precipitation for rainfall-runoff modelling
T2 - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG)
AU - Haberlandt, Uwe
AU - Eschenbach, Anna Dorothea Ebner Von
AU - Belli, Aslan
AU - Gattke, Christian
PY - 2007
Y1 - 2007
N2 - This contribution discusses possibilities to improve the space-time representativity of precipitation for flood simulations based on some case studies. The spatial representativity of precipitation is considered using an example of the interpolation of hourly rainfall using multivariate geostatistics with additional information from weather radar, daily data and topography. A second example discusses the conditional spatial simulation of rainfall for flood simulation focusing on the uncertainty from precipitation input. Regarding the representativeness of precipitation in time, an example of the disaggregation of daily rainfall into hourly rainfall using a multiplicative random cascade model is presented. Another example deals with stochastic synthesis of hourly precipitation using a modern alternating renewal model.
AB - This contribution discusses possibilities to improve the space-time representativity of precipitation for flood simulations based on some case studies. The spatial representativity of precipitation is considered using an example of the interpolation of hourly rainfall using multivariate geostatistics with additional information from weather radar, daily data and topography. A second example discusses the conditional spatial simulation of rainfall for flood simulation focusing on the uncertainty from precipitation input. Regarding the representativeness of precipitation in time, an example of the disaggregation of daily rainfall into hourly rainfall using a multiplicative random cascade model is presented. Another example deals with stochastic synthesis of hourly precipitation using a modern alternating renewal model.
KW - Disaggregation
KW - Geostatistics
KW - Precipitation model
KW - Radar
KW - Random cascade
UR - http://www.scopus.com/inward/record.url?scp=55749113212&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:55749113212
SN - 9781901502091
T3 - IAHS-AISH Publication
SP - 61
EP - 69
BT - IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management
Y2 - 2 July 2007 through 13 July 2007
ER -