Details
| Original language | English |
|---|---|
| Pages (from-to) | 93-97 |
| Number of pages | 5 |
| Journal | Advances in Geosciences |
| Volume | 32 |
| Publication status | Published - 20 Dec 2012 |
Abstract
This paper presents the conditioning of a precipitation model to objectively classified circulation patterns (CP). The application of CPs is considered useful with regards to model accuracy improvement and preparation of a downscaling model by using CPs classified with climate model data. As this study aims to produce rainfall as input for derived flood frequency analyses, the validation focuses on extreme values and precipitation events. The analysis is carried out by modifications of a well tested alternating renewal precipitation model.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Earth and Planetary Sciences (miscellaneous)
- Earth and Planetary Sciences(all)
- Space and Planetary Science
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Advances in Geosciences, Vol. 32, 20.12.2012, p. 93-97.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Stochastic precipitation modeling using circulation patterns to analyze climate impact on floods
AU - Belli, A.
AU - Haberlandt, U.
N1 - Publisher Copyright: © Author(s) 2012.
PY - 2012/12/20
Y1 - 2012/12/20
N2 - This paper presents the conditioning of a precipitation model to objectively classified circulation patterns (CP). The application of CPs is considered useful with regards to model accuracy improvement and preparation of a downscaling model by using CPs classified with climate model data. As this study aims to produce rainfall as input for derived flood frequency analyses, the validation focuses on extreme values and precipitation events. The analysis is carried out by modifications of a well tested alternating renewal precipitation model.
AB - This paper presents the conditioning of a precipitation model to objectively classified circulation patterns (CP). The application of CPs is considered useful with regards to model accuracy improvement and preparation of a downscaling model by using CPs classified with climate model data. As this study aims to produce rainfall as input for derived flood frequency analyses, the validation focuses on extreme values and precipitation events. The analysis is carried out by modifications of a well tested alternating renewal precipitation model.
UR - http://www.scopus.com/inward/record.url?scp=84927744373&partnerID=8YFLogxK
U2 - 10.15488/662
DO - 10.15488/662
M3 - Article
AN - SCOPUS:84927744373
VL - 32
SP - 93
EP - 97
JO - Advances in Geosciences
JF - Advances in Geosciences
SN - 1680-7340
ER -